Literature DB >> 29534696

Associations between aspirin use and the risk of cancers: a meta-analysis of observational studies.

Yan Qiao1, Tingting Yang2, Yong Gan1, Wenzhen Li1, Chao Wang1, Yanhong Gong3, Zuxun Lu4.   

Abstract

BACKGROUND: Epidemiological studies have clarified the potential associations between regular aspirin use and cancers. However, it remains controversial on whether aspirin use decreases the risk of cancers risks. Therefore, we conducted an updated meta-analysis to assess the associations between aspirin use and cancers.
METHODS: The PubMed, Embase, and Web of Science databases were systematically searched up to March 2017 to identify relevant studies. Relative risks (RRs) with 95% confidence intervals (CIs) were used to assess the strength of associations.
RESULTS: A total of 218 studies with 309 reports were eligible for this meta-analysis. Aspirin use was associated with a significant decrease in the risk of overall cancer (RR = 0.89, 95% CI: 0.87-0.91), and gastric (RR = 0.75, 95% CI: 0.65-0.86), esophageal (RR = 0.75, 95% CI: 0.62-0.89), colorectal (RR = 0.79, 95% CI: 0.74-0.85), pancreatic (RR = 0.80, 95% CI: 0.68-0.93), ovarian (RR = 0.89, 95% CI: 0.83-0.95), endometrial (RR = 0.92, 95% CI: 0.85-0.99), breast (RR = 0.92, 95% CI: 0.88-0.96), and prostate (RR = 0.94, 95% CI: 0.90-0.99) cancers, as well as small intestine neuroendocrine tumors (RR = 0.17, 95% CI: 0.05-0.58).
CONCLUSIONS: These findings suggest that aspirin use is associated with a reduced risk of gastric, esophageal, colorectal, pancreatic, ovarian, endometrial, breast, and prostate cancers, and small intestine neuroendocrine tumors.

Entities:  

Keywords:  Aspirin; Cancers; Meta-analysis; Observational studies

Mesh:

Substances:

Year:  2018        PMID: 29534696      PMCID: PMC5851082          DOI: 10.1186/s12885-018-4156-5

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Aspirin has been used as an analgesic and in the prevention of cardiovascular diseases events in the past decades and is one of the most commonly used drugs worldwide [1, 2]. Clinical and epidemiological studies reported that the rates of aspirin usage in different populations across different countries ranging from 11% to 54% [3-5]. Since the 1970s, many researchers started to focus on the effects of aspirin on cancers [6, 7]. However, these original studies were not comprehensive, and the effects on some cancers were controversial [8, 9]. Although several meta-analyses have been conducted to assess the associations between aspirin use and the risk of cancers(e.g., gastric, esophageal, pancreatic, lung, squamous cell carcinoma, breast, ovarian, and prostate cancers) [10-18], most of these studies were restricted to certain types of cancers, and some types such as hepatobiliary and cervical cancer could not be investigated. In addition, 70 new studies have been published since 2012. Therefore, this comprehensive systematic review and updated meta-analysis was conducted to explore the reliability of risk estimates between aspirin usage and most types of cancers and provide a landscape of aspirin use and cancer incidence.

Methods

Search strategy

This systematic review was conducted in accordance with the checklist proposed by the Meta-analysis of Observational Studies in Epidemiology group [19]. We searched multiple electronic bibliographic databases to identify studies published from database inception till March 2017, including PubMed, Embase, and Web of Science databases, with the following search terms: (“cancer” OR “neoplasm” OR “carcinoma”) AND (“aspirin” OR “acetylsalicylic acid” OR “non-steroidal anti-inflammatory drugs” OR “NSAIDs”). We restricted our search to human studies and published in English. In addition, reference lists from relevant reviews and retrieved articles were searched for qualifying studies.

Inclusion criteria

The inclusion criteria were: 1) case-control or cohort studies; 2) studies that evaluated the relationships between the use of aspirin and the risk of cancers; 3) studies that reported risk estimates with 95% confidence interval (CI) or provided information that enabled us to calculate them. The exclusion criteria were: 1) studies that used other combinations of NSAIDs, which prevented the determination of the specific effect of aspirin, and 2) studies involving patients with specific diseases (e.g., Barrett’s esophagus, Crohn’s disease, or ulcerative colitis). Only the latest or the most informative study was included when multiple studies were published on the same study population.

Data extraction

The following information was obtained from each study: first author name, year of publication, study period, study location, study design, number of cases, number of participants, gender, definition of aspirin exposure, as curtained methods of exposure, odds ratios (ORs), hazard ratios (HRs) or relative risks (RRs) with their corresponding 95% CIs, and confounding factors adjusted in the analysis. The most fully-adjusted risk estimates with its corresponding 95% CIs (when available) were preferentially extracted. Data extraction was conducted independently by two authors (Y.Q. and T.T.Y.), and discrepancies were resolved by discussion with a third investigator (Z.X.L.).

Quality assessment

Quality assessment of eligible studies was performed independently by two reviewers (Y.Q. and T.T.Y.) according to the Newcastle-Ottawa Quality Assessment Scale [20]. This scale allocates a maximum of nine points based on the selection (0–4 points), comparability (0–2 points), and exposure/outcome of the study participants (0–3 points). Scores of 0–3, 4–6, and 7–9 were classified as low, moderate, and high-quality studies respectively.

Statistical analysis

RRs were used as the common measurement of the associations between aspirin use and the risk of cancer. Because cancer is a rare event in general, we could generally ignore the distinctions among the various measures of relative risk (e.g., odds ratios, rate ratios, and risk ratios) [21], and considered that ORs and HRs were similar to RRs. When risk estimates for different durations of aspirin use or different levels of aspirin utilization were available, the study-specific RRs were subsequently recalculated in the primary analysis by pooling the risk estimates compared with the reference group. A random effects model was selected to estimate the pooled RRs (95% CI) for the associations between aspirin use and the risk of cancer if the risk estimates for different subtypes of cancer were available. Summary estimates were derived from meta-analyses using random effects models. Studies involving different populations or different types of cancers were treated as independent studies. To assess the heterogeneity in results of individual studies, I2 statistic (values of 25%, 50%, and 75% represented cutoff points for low, moderate, and high degrees of heterogeneity, respectively) were used [22]. Publication bias was assessed with Funnel plots, the Begg’s rank correlations and Egger’s regression model. Subgroup analyses for study design, study location, gender, exposure assessment, quality assessment, duration of aspirin use (years), and frequency of aspirin use (tablets/week) were conducted to explore the potential heterogeneity among studies. Subgroup analysis was not conducted for strata with less than five studies. Because time-related biases are common in observational studies of medications and are often responsible for apparent protective effects of drugs, we conducted analyses both including and excluding studies with immortal time bias (bias because of the inclusion of follow-up time during which events cannot occur) [23]. Statistical analyses were performed with Stata version 12.0. (College Station, TX, USA). All reported probabilities (P values) were two-tailed with a significance level of 0.05.

Results

Literature search and study characteristic

Figure 1 shows the process for the identification of eligible studies. A total of 28,683 studies were identified and 298 studies remained in the analysis after assessing the titles and abstracts according to the criteria mentioned above. In total, 307 potentially relevant articles were reviewed in their entirety. Among them, 89 articles were further excluded due to the following reasons: 26 articles were not observational design, 11 articles defined exposure combined with other NSAIDs, 8 articles evaluated cancer mortality, 39 articles were duplicate publications on the same subject population, and 5 articles (1 for Crohn’s disease [24], 1 for ulcerative colitis [25], 3 for Barrett’s esophagus [26-28]) included patients with specific diseases. Ultimately, 218 studies with 309 independent reports were included in the present meta-analysis.
Fig. 1

Flow chart of study selection

Flow chart of study selection The main characteristics of the 218 eligible articles published between 1985 and 2016 are summarized in Tables 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 and 21. Results were presented according to study design. This study altogether included 161 cohort studies and 148 case-control studies. Among them, 135 studies were conducted in North America, 12 in Asia, 61 in Europe, 8 in Oceania, and 2 were multi-country studies. Overall, the summarized RR was 0.89(95%CI: 0.87–0.91), indicating a decreased risk of cancer associated with the use of aspirin. The combined RRs were 0.82 (95% CI: 0.79–0.85) for the case-control studies and 0.94 (95% CI: 0.92–0.97) for the cohort studies. We also observed a apparent beneficial effect of aspirin use when excluding 41 studies deemed to be prone to immortal time bias (RR = 0.87, 95%CI:0.85–0.89) in the meta-analysis.
Table 1

Characteristics of included studies- gastric cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Iqbal U [47], 2017, ChinaM/F2001–2011The Taiwan NHI database22,57490,296Gastric cancerPrescriptionUse at least for 2 months during the 3-year period before the initial cancer diagnosis1,2,13,14,15,16,177
 Wang Y [48], 2015, ChinaM/F2005–2010Population from China175350Gastric cancerStructured questionnaireUse at least once a week for one year (regular)2,3,5,6,7,10,18,19,207
 Gong EJ [49], 2014, KoreaM/F2000–2010Asian Medical Center327327Gastric cancerSelf-administered questionnaireUse of aspirin - not further defined1,2,3,4,6,8,10,11,12,18,21,22,23,6
 Bertuccio P [50], 2010, ItalyM/F1997–2007Population from Italy229543Gastric cancerStructured questionnaireUse at least once a week for more than 6 months (regular)1,2,4,5,6,10,247
 Figueroa JD [51], 2009, USM/F1993–1995Population from Connecticut, New Jersey, and western Washington state367695Gastric adenocarcinomasStructured interviewsUse at least once per week for 6 months or more1,2,3,10,25,267
 Duan L [52], 2008, USM/F1992–1997Los Angeles County Cencer Surveillance Program7181356Gastric adenocarcinoasStructured questionnaireUse of aspirin - not further defined1,2,3,5,10,20,25,27,287
 Fortuny J [53], 2007, USM/F1980–2002 1993–2004GHC and HFHS4963996Gastric cancerOutpatient pharmacy recordsNo prescription for aspirin (never users)1,2,25,29,307
 Akre K [54], 2001, SwedenM/F1989–1995Population from Swedish counties5671165Gastric cancerInterviewsEver use of aspirin (ever users)1,2,97
 Coogan PF [55], 2000, USM/F1977–1998Population from Baltimore, Boston, New York, and Philadelphia2545952Stomach cancerAdministered questionnairesUse at least 4 days/week for at least 3 months (regular)1,2,3,4,5,6,25,32,33,348
 Zaridze D [56], 1999, RussiaM/F1993–1997Moscow City Oncology Hospital and Cancer Research Center and were Moscow City residents448610Stomach cancerSelf-administered questionnaireUse at least 2 days a week for 6 months or more (regular)1,56
Cohort studies
 Kim YI [57], 2016, KoreaaM/F2004–2010KNHI database11711,598Gastric cancerPrescription databaseNever make claims for aspirin prescription or less than 6 months of aspirin prescriptions (non-users)1,2,20, 357
 Lee J [58], 2012, KoreaM/F1999–2008Samsung Medical Center184347Gastric cancerPrescriptionHave aspirin fill prescriptions for at least 6 months1,2,146
 Abnet CC [59], 2009, USM/F1995–2003AARP360311,115Gastric cancerQuestionnaireAny use in the past 12 months1,2,3,5,6,10,34,36,377
 Epplein M [60], 2009, USM/F1993–2004Multiethnic Cohort (Hawaii and Los Angeles, California)643169,292Gastric cancerSelf-administered questionnaireUse any aspirin at least 2 times a week (for 1 month or longer)1,2,3,6,10,257
 Lindblad M [61], 2005, UKaM/F1994–2001General Practitioners Research Database10231000Gastric CancerPrescription databaseAny recorded use of aspirin (ever use)1,2,3,6,10,28, 318
 Friis S [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County6829,470Stomach cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι3912,668Stomach cancerSelf-reportedUse aspirin during the 30-day period before the interview1,26

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = marriage, 8 = fat distribution, 9 = social status, 10 = BMI, 11 = total cholesterol, 12 = triglyceride, 13 = charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = angiotensin II receptor blockers, 18 = helicobacter pylori, 19 = history of diabetes, 20 = resident district, 21 = percent body fat, 22 = HDL cholesterol, 23 = LDL cholesterol, 24 = period of interview, 25 = race, 26 = gastro-esopageal refiux disease, 27 = antacid use, 28 = upper gastrointestinal tract history, 29 = health plan, 30 = duration of continuous, 31 = calendar year enrollment in the health plan at the date of diagnosis, 32 = interview year, 33 = center, 34 = religion, 35 = comorbidity, 36 = total calorie, fibre and calcium intake, 37 = fruit, vegetable and/or vitamin intake, 38 = physical activity, 39 = processed meat intake

AARP AARP diet and health study, GHC Group Health Cooperative, HFHS Henry Ford health system’s health alliance plan, KNHI Korean National Health Insurance database

aStudy deemed to be prone to immortal time bias

Table 2

Characteristics of included studies- esophagus cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Figueroa JD [51], 2009, USM/F1993–1995Population from Connecticut, New Jersey, and western Washington state282695Oesophageal cancerStructured interviewsUse at least once per week for 6 months or more1,2,3,10,11,127
 Sadeghi S [64], 2008, AustraliaM/F2001–2005Population from Australia11021580Oesophageal cancerQuestionnaireUse at least once a week for duration of 6 months or more(regular)1,2,4,6,10,16,28,296
 Duan L [52], 2008, USM/F1992–1997Los Angeles County Cencer Surveillance Program2201356Esophageal adenocarcinomaStructured questionnaireUse of aspirin - not further defined1,2,3,5,10,11,14,15,16,7
 Fortuny J [53], 2007, USM/F1980–2002 1993–2004GHC and HFHS2773996Oesophageal cancerOutpatient pharmacy recordsNo prescription for aspirin (never users)1,2,11,17,187
 Ranka S [65], 2006, UKM/F1999–2004Population from Norfolk4111644Oesophageal cancerSelf-reported,medical admission notes and nursing recordsUse of aspirin - not further defined3,68
 Anderson LA [66], 2006, IrelandM/F2002–2004The FINBAR study224260Esophageal adenocarcinomaInterviewUse aspirin at least once weekly for ≥ 6 months1,2,3,5, 6,10,30,31,6
 Jayaprakash V [67], 2006, USM/F1982–1998RPCI163482Oesophageal cancerQuestionnaireUse at least once a week for 6 months (regular)1,2,3,6,10,32,6
 Sharp L [68], 2001, UKF1993–1996Population in England and Scotland159159Oesophagus squamous cell carcinomaInterviewDaily use of aspirin for at least a month1,337
Cohort sutdies
 Macfarlane TV [69], 2014, UKaM/F1996–2010PCCIU database11973585Oesophageal cancerPrescription databaseHad at least one Prescription (users)1,2,13,23,24,25,26,277
 Abnet CC [59], 2009, USM/F1995–2003AARP228311,115Oesophageal adenocarcinomaQuestionnaireAny use in the past 12 months1,2,3,5,6,10,20,21,227
 Lindblad M [61], 2005, UKaM/F1994–2001GPRD database9091000Esophageal cancerPrescription databaseAny recorded use of aspirin (ever use)1,2,3,6, 10,14, 198
 Friis S [62], 2003, DenmarkaM/F1989–1997Population of North Jutland County2629,470Oesophagus cancerPrescription database75–150 mg once daily (low-dose aspirin)1,28

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = marriage, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race 12 = gastroesopageal refiux disease, 13 = other NSAID 14 = upper gastrointestinal tract history, 15 = antacid use, 16 = birthplace,17 = health plan, 18 = duration of continuous enrollment in the health plan at the date of diagnosis, 19 = calendar year, 20 = total calorie, fibre and calcium intake, 21 = fruit, vegetable and/or vitamin intake, 22 = physical activity, 23 = CHD, 24 = stroke, 25 = COX-2 inhibitors, 26 = duration of observation in the database, 27 = deprivation, 28 = household income, 29 = cumulative and frequency of gastroesophageal reflux symptoms 10 y before diagnosis, 30 = location, 31 = job type, 32 = year of completing the questionnaire, 33 = general practice

AARP AARP diet and health study, FINBAR the factors influencing the Barrett’s adenocarcinoma relationship study, GHC Group Health Cooperative, GPRD General Practitioners research database, HFHS Henry Ford health system’s health alliance plan, PCCIU primary care clinical informatics unit database, RPCI the Roswell park cancer Institute

aStudy deemed to be prone to immortal time bias

Table 3

Characteristics of included studies- colorectal cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Iqbal U [47], 2017, ChinaM/F2001–2011The Taiwan NHI database86,597346,388Colorectal cancerPrescriptionPatients had aspirin prescribed at least for 2 months during the 3-year period before the initial cancer diagnosis1,2,13,14,15,16,177
 Friis S [70], 2015, DermarkM/F1994–2011Danish Cancer Registry, Aarhus University Prescription Database, Danish National Patient Registry, Danish Civil RegistrationSystem10,28010,280Colorectal cancerPrescription databaseHave 2 or more prescriptions for aspirin(ever use)1,2,14,26,27,28,29,30,31,32,33.8
 Rennert G [71], 2010, IsraelM/F1988–2006The MECC26482566Colorectal cancerInterviewedDaily aspirin use for at least 3 years1,2,7,265
 Din FV [72], 2010, UKM/F2001–2008SCCS22792907Colorectal cancerQuestionnaireUse > 4 tablets/week for > 1 month1,2,3,6,8,18,19,34,354
 Harris RE [73], 2008, USM/F2003–2004The CHRI326652Colon cancerQuestionnaireUse at least once per week for more than 1 year1,3,4,6,7,8,26,365
 Kim S [74], 2008, USM/F2001–2006North Carolina Colon Cancer Study II10571019Colorectal cancerQuestionnaireAny use of aspirin in the past 5 years (ever users)1,2,7, 8,18,37, 38,39,406
 Hoffmeister M [75], 2007, GermanyM/F2003–2004The Rhine–Neckar–Odenwald region in the South-West of Germany477517Colorectal cancerQuestionnaireUse at least 2 times per week for at least 1 year(current regular use)1,2,3,4,5,6,8,22,27,30,41,42,438
 Slattery ML [76], 2006, USM/F1991–1994KPMCP23512972Colorectal cancerQuestionnaireUse at least three times a week for 1 month(regular)1,2,77
 Macarthur M [77], 2005, UKM/F1998–2000Grampian HealthBoard residents264408Colorectal cancerQuestionnaireUse aspirin every day for a month or more(regular)1,26
 Juarranz M [78], 2002, SpainM/F1995–1996The Research Unit of the Council of Health and Social Services of the Community ofMadrid196228Colon cancerQuestionnaireConsider aspirin use as a continuous numeric variable in milligrams/week -not further defined1,28
 Evans RC [79], 2002, UKM/FMerseyside and Cheshire Cancer Registry512512Colorectal cancerQuestionnaireUse at least once per day(regular)1,2,26,388
 Neugut AI [80], 1998, USM/F1989–1992Columbia-Prebyterian Medical Center256322Colon cancerMedical recordUse aspirin-not further defined1,4,56
 Rosenberg L [81], 1998, USM/F1992–1994Hospital in Massachusetts942935Large bowel carcinomaQuestionnaireUse at least 4 days a week for at least 3 months1,29
 La VC [82], 1997, ItalyM/F1992–1996Population from Italian areas13571891Colorectal adenomaQuestionnaireUse more than four times per week for > 6 months1,2,5,6,8,18,26,34, 437
 Reeves MJ [83], 1996, USF1991–1992Wisconsin Cancer Reporting system2122Colorectal cancerSelf-reportedUse at least one table twice weekly or more than at least 12 months1,4,8,308
 Suh O [84], 1993, USM/F1982–1991Roswell Park Tumor Registry and Diagnostic Index8301662Colorectal adenomaQuestionnaireUse aspirins for at least 1 year(users)1,2,5,269
 Kune GA [85], 1988, AustraliaM/F1980–1981Population in Melbourne715727Colorectal adenomaQuestionnaire, hospital records, and interviewUse aspirin “daily” “weekly” or “don’t know- not further defined”1,28
Cohort studies
 Park SY [86], 2017, USM/F1993–2012The MEC Study3879183,199Colorectal cancerQuestionnaireHad ever use of aspirin1,3,4,6,8,18,19,27,30,34,37,43, 48,498
 Kim C [87], 2016, USM1982–2000Physicians Health Study268446Colorectal cancerQuestionnaireUse of aspirin- not further defined6,8,18,19, 209
 Soriano LC [88], 2016, UK(STUDY 1)M/F2000–2011THIN303310,000Colorectal cancerPrescriptionNo recorded use at any time(non user)1,2,3,8,21, 22,24,259
 Soriano LC [88], 2016, UK(STUDY 2)M/F2001–2012THIN317410,000Colorectal cancerPrescriptionNo recorded use at any time(non user)1,2,3,8,21,22,239
 Soriano LC [88], 2016, UK(STUDY 3)M/F2001–2012THIN12,33320,000Colorectal cancerPrescriptionNo recorded use at any time(non user)1,2,3,8,21,229
 Vaughan LE [89], 2016, USF2004–2011IWHS21814,386Colon cancerQuestionnaireNever use aspirin (non-user)1,3,8,228
 Cao Y [8], 2016, USM/F1980–20101986–2012NHS and HPFS2895135,965Colorectal cancerQuestionnaireUse at least 2 times per week(regular)3,4,6,7,8,18,19,27,30,34,37,42,43,49,50,51,52,539
 Lin CC [90], 2015, ChinaaM/F2000–2009The Longitudinal Health Insurance Database46760,828Colorectal cancerPrescription databaseUse any low-dose aspirin (75–165 mg)1,2,54,558
 Hollestein LM [91], 2014, NetherlandsaM/F1998–2010PHARMO and the Eindhoven Cancer Registry972109,276Colorectal cancerPrescription databaseLow dose aspirin (≤100 mg daily)- not further defined1,2,56,728
 Brasky TM [92], 2014, USF1998–2010WHI1397140,933Colorectal cancerSelf-administered questionnairesUse at both baseline and year 3 visits (consistent)1,3,4,5,6,7,8,37,18,19,22,26,27,33,43,50,57,58,59,60,61,62,63,64,65,66,67,68,69,70,719
 Brasky TM [93], 2012, USM/F2002–2008.12.30The VITAL45164,847Colorectal cancerQuestionnaireUse ≥1 day/week for ≥ 1 year(regular)1,3,4,5,6,7,8,9,10,18,19,22,28,30,33,42,43, 50,67,68,69,718
 Ruder EH [94], 2011, USM/F1996–2006National Institutes of Health-AARP Diet and Health Study3894301,240Colorectal cancerSelf-administered questionnaireUse aspirin during the previous 12 months1,2,3,4,5, 6,7,8,18,277
 Friis S [95], 2009, DenmarkM/F1995–2006Danish Diet, Cancer, and Health Study61551,053Colorectal cancerQuestionnaireUse fewer than 2 pills per month (nonuse)1,2,6,8,14,22,27,30,7
 Siemes C [96], 2008, NetherlandsM/F1992–2004The Rotterdam Study1957621Colorectal cancerQuestionnaire and prescriptionsThe absence of a prescription for any non-aspirin or aspirin NSAID(no use)1,2,3,8,18, 27,34,70,73,748
 Vinogradova Y [97], 2007, UKaM/F1995–2005QRESEARCH database12265369Colorectal cancerPrescription databaseReceive ≥1 prescription for aspirin in the 13 to 48 months before index date3, 8,22,418
 Jacobs EJ [98], 2007, USM/F1992–2003Cancer Prevention Study II Nutrition Cohort1861146,113Colorectal cancerQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,2,3,5,7,18,22,27,28,30,36,68,52,538
 Larsson SC [99], 2006, SwedenM/F1998–2005Swedish Mammography Cohort and Cohort of Swedish Men70574,250Colorectal cancerQuestionnaireAspirin use- not further defined1,2,3,4,5,8,18289
 Muscat JE [100], 2005, USM/F1983–1999The Framingham Heart study145433Colorectal cancerQuestionnaireNever/< 1/week, 1–3/week, > 3/week1,2,3,449
 Rahme E [101], 2003, CanadaM/F1997–2001RAMQ1792568Colorectal adenomaPrescriptionUse at least 1 year45,46,477
 Rodríguez LAG [102], 2001, UKaM/F1994–1997The GPRD2002943,903Colorectal cancerPrescription databaseNever received a single prescription(non-user)1,28
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι16912,668Colorectal cancerSelf reportedUse aspirin during the 30-day period before the interview1,26
 Paganini-Hill A [103], 1989, USM/F1981–1988Population from Leisure World, Laguna Hills, US18113,870Colon cancerQuestionnaireAspirin use: none,<daily, daily24

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = race, 8 = BMI, 9 = marital status, 10 = self-rated health, 11==C-reactive protein level, 12 = cholesterol, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = angiotensin II receptor blockers, 18 = physical activity 19 = fruit, vegetable and/or vitamin intake, 20 = seafood and dairy foods intake, 21 = number of PCP visits in the year before the index date, 22 = other NSAIDs, 23 = paracetamol, 24 = insulin, 25 = oral steroids, 26 = area (county/region), 27 = hormone replacement therapy, 28 = history of diabetes mellitus, 29 = history of cholecystectomy, 30 = history of colonoscopy, 31 = chronic obstructive pulmonary disease or asthma,32 = antidepressants, 33 = migraine,34 = total energy intake, 35 = deprivation index, 36 = hypertension ampling probability, 37 = ever use of calcium supplements in the past 5 years, 38 = primary care practitioner, 39 = dietary fat intake, 40 = sampling probability, 41 = morbidity (diabetes, ischemic heart disease, hypertension, stroke, colitis, rheumatoid arthritis, and osteoarthritis), 42 = former health checkup, 43 = red meat, 44 = Nitro-vasodilator use, 45 = number of drugs, 46 = number of physician encounters, 47 = all-cause hospitalization in prior year, 48 = dietary fiber, 49 = folate, 50 = height, 51 = Alternate Healthy Eating Index-2010, 52 = PSA test in past 2 y, 53 = mammogram in past 2 y, 54 = duration of diabetes, 55 = propensity score at baseline, 56 = unique number of hospitalizations in the year prior to start of follow up, 57 = observational study enrollment, 58 = diet modification trial enrollment, 59 = screening for cancer, 60 = age at menarche, 61 = age at menopause, 62 = gravidity, 63 = age atfirst birth, 64 = duration of estrogen therapy, 65 = duration of combined postmenopausal hormone therapy, 66 = hysterectomy status, 67 = use of antihypertensive medication, 68 = history of coronary heart disease, 69 = use of cholesterol-lowering medication, 70 = history of arthritis, 71 = history of Ulcer, 72 = unique number of dispensing

AARP AARP diet and health study, CHRI Cancer Hospital and Richard J. Solove Research Institute, GPRD General Practitioners Research Database, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, KPMCP Kaiser Permanente Medical Care Program of Northern California, MEC Multiethnic Cohort Study, MECC the molecular epidemiology of colorectal cancer, NHS nurses’ health study, RAMQ Re′gie de l’Assurance Maladie du Que’bec, SCCS study of colorectal cancer in Scotland, THIN the health improvement Network, VITAL the vitamins and lifestyle, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 4

Characteristics of included studies- hepato-biliary cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Choi J [104], 2016, USM/F2000–2014Patients seen at the Mayo Clinic23954769CholangiocarcinomaElectronic medical recordUse at least once per week at the index date1,2,3,11,12,13,14,159
 Yang B [105], 2016, UKM/F1988–2011CPRD8143180Primary liver cancerMedical records databaseHad two or more aspirin prescriptions recorded prior to the index date(ever use)3,6,10,15,16,17,187
 Burr NE [106], 2014, UKM/F2004–2010NNUH and LGH81275CholangiocarcinomaLetters from general practitioners (GPs), hospital clerkings, surgical records, nursing notes and radiological reportsDrug was recorded in any of the data sources1,2,3,157
Cohort studies
 Kim G [107], 2017, KoreaM/F2003–2012NHIS-NSC2291145Hepatocellular carcinomaPrescriptionAt least one prescription of aspirin between the cohort entry and the index date1,2,19,20,6
 Petrick JL [108], 2015, USM/Ffrom 1993AARP,AHS, USRT,BCDDP, PLCO,HPFS, CPSII, BWHS WHI,NHS9041,084,133Hepatocellular carcinoma and intrahepatic cholangiocarcinomaQuestionnaireAny reported aspirin use in the 12 months prior to baseline1,2,3,6,10,11,15, 217
 Liu E [109], 2005, ChinaM/F1997–2001Population from Shanghai3681013Gallbladder CancerQuestionnaireUse at least twice a week for longer than a month 1 year before interview1,2,5, 226
 S Friis [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County2129,470Liver cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = marriage, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race,12 = primary sclerosing cholangitis (PSC), 13 = non-PSC-related cirrhosis, 14 = biliary tract diseases, 15 = diabetes, 16 = hepatitis B or C virus infection, 17 = rare metabolic disorders, 18 = use of paracetamol, antidiabetic medications, and statins,19 = follow–up duration, 20 = the date of the diabetes diagnosis, 21 = cohort (AARP, AHS, USRT, PLCO, HPFS, CPSII, IWHS, BWHS, WHI, NHS), 22 = biliary stone status

AARP AARP diet and health study, AHS Agriculture Health Study, BCDDP the breast cancer detection demonstration project, BWHS black women’s health study, CPRD clinical practice research datalink, CPSII cancer prevention study II, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, LGH Leicester General Hospital NHS Trust, NHIS-NSC National Health Insurance Service National Sample Cohort, NHS nurses’ health study, NNUH Norfolk and Norwich University Hospital, PLCO prostate, lung, colorectal and ovarian cancer screening trial, USRT United State Radiologic Technologist Study, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 5

Characteristics of included studies- pancreatic cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Risch HA [110], 2017, ChinaM/F2006–2011Our Shanghai study761794Pancreatic cancerIn-person questionnaire interviewsUse at least one tablet per week for 3 months or longer(regular)1,2,3,5,7,10,50,517
 Kho PF [111], 2016, AustraliaM/F2007–2011The QPCS522652Pancreatic cancerQuestionnaireLong-term use of aspirin ((> 2 years)1,2,3,6,108
 Streicher SA [112], 2014, USM/F2005–2009Population from Connecticut360682Pancreatic cancerQuestionnaireUse at least once a week on average, for 3 months or more1,2,3,5,7,10,11,528
 Tan XL [113], 2011, USM/F2004–2010Patients from the Mayo Clinic7401043Pancreatic cancerQuestionnaireUse aspirin ≥1 day per month1,2,3,7,106
 Pugh TFG [114], 2011, UKM/F2004–2007Clinical management databases in Norfolk and Leicestershire206251Pancreatic cancerMedical recordsUse of aspirin - not further defined1,2,3,76
 Bonifazi M [115], 2010, ItalyM/F1991–2008Patients in in the province of Pordenone and in the greater Milan area, northern Italy308477Pancreatic cancerQuestionnaireUse at least once a week for more than 6 months(regular)1,2,3,5,7,10,53,548
 Menezes RJ [116], 2002, USM/F1982–1998The RPCI194585Pancreatic cancerPatient Epidemiology Data System (PEDS) and questionnaireUse at least once a week for six consecutive months(regular)1,3,45
Cohort studies
 Cao Y [8], 2016, USM/F1980–20101986–2012NHS and HPFS607135,965Pancreatic cancerQuestionnaireUse at least 2 times per week(regular)3,4,6,10,11,12,13,14,15,16,17,18,19,20,21,22,23,249
 Brasky TM [92], 2014, USF1998–2010WHI397142,330Pancreatic cancerSelf-administered questionnairesUse at both baseline and year 3 visits (consistent)1,3,4,5, 6,10,11,17,18,19,25,26,28,29,30,31,32,34,35,36,37,38,39,40,41,42,43,44,45,46,47,489
 Bradley MC [117], 2010, UKaM/F1995–2006GPRD5643984Pancreatic cancerPrescription DatabaseUse 300 mg or more a day (high-dose)3,6,7,10, 25,27,47,55,8
 Jacobs EJ [98], 2007, USM/F1992–2003Cancer Prevention Study II Nutrition Cohort404146,113Pancreatic cancerQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,2,3,5,7,10,11, 15,16,17,18,20,25, 45, 498
 Friis S [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County6229,470Pancreatic cancerPrescription Database75–150 mg once daily(low-dose aspirin)1,28
 Anderson KE [118], 2002, USF1992–1999IWHS8028,283Pancreatic cancerQuestionnaireNever use any type of medication (never use)1,3,7,197
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι3012,668Pancreatic cancerSelf reportedUse aspirin during the 30-day period before the interview1,26

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = diabetes, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race, 12 = folate, 13 = height, 14 = Alternate Healthy Eating Index-2010, 15 = PSA test in past 2 y, 16 = mammogram in past 2 y, 17 = hormone replacement therapy, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = other NSAIDs, 26 = area (county/region), 27 = prior cancer, 28 = migraine, 29 = ever use of calcium supplements in the past 5 years, 30 = red meat, 31 = Nitro-vasodilator use, 32 = height, 33 = unique number of hospitalizations in the year prior to start of follow up, 34 = observational study enrollment, 35 = diet modification trial enrollment, 36 = screening for cancer, 37 = age at menarche, 38 = age at menopause, 39 = gravidity, 40 = age atfirst birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of arthritis, 48 = history of ulcer, 49 = hypertension, 50 = H. pylori CagA seropositivity, 51 = ABO blood group A vs. non-A, 52 = ABO blood group O vs. non-O, 53 = center, 54 = year of interview, 55 = history of chronic pancreatitis

GPRD General Practitioners Research Database, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, NHS nurses’ health study, QPCS the Queensland Pancreatic Cancer Study, RPCI the Roswell Park Cancer Institute, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 6

Characteristics of included studies- lung cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Iqbal U [47], 2017, ChinaM/F2001–2011The Taiwan NHI database68,409273,636Lung cancerPrescriptionPatients had aspirin prescribed at least for 2 months during the 3-year period before the initial cancer diagnosis1,2,13,14,15,16,177
 Lim WY [119], 2012, SingaporeF2005–2008Population from Chinese252556Lung cancerQuestionnaireUse twice a week or more, for a month or more(regular)1, 3,4,5,19,347
 McCormack VA [120], 2011, USM/FAHFTS977683Lung cancerInterview1,3,5,117
 McCormack VA [120], 2011, USM/FPopulation from Boston768123Lung cancer1,3,5,117
 McCormack VA [120], 2011, USM/FPopulation from Florida467889Lung cancer1,3,5,117
 McCormack VA [120], 2011, USM/FPopulation from Hawaii629588Lung cancer1,3,5,117
 McCormack VA [120], 2011, USM/FMSKCC102101Lung cancer1,3,5,117
 McCormack VA [120], 2011, USM/FNELCS276251Lung cancer1,3,5,117
 McCormack VA [120], 201, IsraelM/FNICCC280270Lung cancer1,3,5,117
 Kelly JP [121], 2008, USM/F1976–2007Patients in Boston Baltimore New York and Philadelphia18846251Lung cancerIn-person interviewUse at least 4 days per week for at least three continuous months(regular)1,2,3,4,6,29, 30,366
 Van Dyke AL [122], 2008, USF2001–2005Metropolitan Detroit Cancer Surveillance System, a participant in the National Cancer Institute’s Surveillance580541Lung CancerQuestionnaireHad taken any aspirin1,3,4,5,10,11, 3135,377
 Harris RE [123], 2007, USM/F2002–2004The Ohio State University Medical Center, Columbus, Ohio375654Lung CancerInterviewUse no more than one pill per week for less than 1 year(nonuser)1,2,3,5,6,10,11,357
 Muscat JE [124], 2003, USM/F1992–2000Hospitals in New York and Washington, D.C997918Lung CancerQuestionnaireUse three tablets per week for 1 or more years(regular)1,2,3,47
 Moysich KB [125], 2002, USM/F1982–1998RPCI868935Lung CancerEpidemiological questionnaireUse at least once a week for one year(regular)1,3,48
Cohort studies
 Cao Y [8], 2016, USM/F1980–20101986–2012NHS and HPFS2430135,965Lung cancerQuestionnaireUse at least 2 times per week(regular)3,5,6,7,8,9,10,11,12,18,19,20,21,22,23,24,25,289
Baik CS [126], 2015, USF1993–2010WHI1902143,841Lung cancerQuestionnaireUse at least twice a week in each of the two weeks preceding the interview(regular)1,3,5,6,10,11,19,25,31,50,51,528
 Hollestein LM [91], 2014, NetherlandsaM/F1998–2010PHARMO and the Eindhoven Cancer Registry915109,276Lung cancerPrescription databaseLow dose aspirin (≤ 100 mg daily)- not further defined1,2,26,278
 Brasky TM [127], 2012, USM/F2000–2007The VITAL cohort10069,919Lung cancerThe baseline questionnaireUse aspirin ≥1 day/week for ≥ 1 year(regular)1,2,3,4,5,10,11, 29,35,46,53,548
 McCormack VA [120], 2011, USM/FDDCHS81255,396Lung cancerQuestionnaire1,3,5,11,7
 Siemes C [96], 2008, NetherlandM/F1992–2004The Rotterdam Study1347621Lung cancerQuestionnaire and prescriptions.The absence of a prescription for any non-aspirin or aspirin NSAID(no use)1,2,10,18,21,25, 35,55,56,578
 Olse JH [128], 2008, DermarkaM/F2002–2005Danish Diet, Cancer and Health prospective cohort study282390Lung cancerQuestionnaire and prescription databaseAny use of aspirin or 1 year or more before the index date1,2,3,4,38,397
 Hernández-Díaz S [129], 2007, UKaM/F1995–2004THIN database433610,000Lung cancerTHIN databaseHad recorded prescription at any time before the index date1,2,3,6,10, 14,33,35,40,41,42,43,44,45,46,47,488
 Jacobs EJ [98], 2007, USM/F1992–2003Cancer Prevention Study II Nutrition Cohort1815146,113Lung cancerQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,2,3,4,9,10,11, 18,25,28,29, 31,32,338
 Hayes JH [130], 2006, USF1992–2002IWHS40327,162Lung cancerQuestionnaireNever, less than one weekly, once weekly, two to five times weekly, and six or more times weekly1,3,4,6,10,19, 29,587
 Akhmedkhanov A [131], 2002, USF1994–1996NYU and Women’s Health Study cohort.81808Lung cancerQuestionnaireUse three or more times per week for a period of 6 months or longer1,3,4,497
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι16312,668Lung cancerSelf reportedUse aspirin during the 30-day period before the interview1,26
 Paganini-Hill A [103], 1989, USM/F1981–1988Population in Leisure World, Laguna Hills, US11113,870Lung cancerQuestionnaireAspirin use: none,<daily, daily24

1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = Alternate Healthy Eating Index-2010, 9 = PSA test in past 2 y, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = history of coronary heart disease, 32 = diabetes, 33 = hypertension, 34 = housing type, 35 = history of arthritis, 36 = interview year, 37 = history of COLD, 38 = study, 39 = use of acetaminophen, 40 = smoking cessation advice by general practitioner, 41 = smoking cessation treatment, 42 = number of visits to general practitioner, 43 = number of referrals, 44 = use of oral corticosteroids, 45 = antihypertensives and other lipid-lowering drugs, 46 = chronic obstructive pulmonary disease, 47 = cerebrovascular disease, 48 = ischemic heart disease, 49 = menopausal status, 50 = age started and years since quitting smoking, 51 = emphysema, 52 = randomization arm of the DM trial, 53 = history of ulcer, migraine or chronic headache, osteoarthritis or chronic joint pain, 54 = coronary artery disease, 55 = C-reactive protein level, 56 = pack years of smoking, 57 = cholesterol, 58 = any heart disease/heart attack

AHFTS American Health Foundation Tobacco Study, DDCHS Danish Diet Cancer and Health Study, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, MSKCC Memorial Sloan-Kettering Cancer Center, NELCS New England Lung Cancer study, NHS nurses’ health study, NICCC National Israel Cancer Control Center, NYU New York University, RPCI the Roswell Park Cancer Institute, THIN the Health Improvement Network, VITAL the vitamins and lifestyle, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 7

Characteristics of included studies- breast cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Iqbal U [47], 2017, ChinaF2001–2011The Taiwan NHI database65,491435,364Breast cancerPrescriptionPatients had aspirin prescribed at least for 2 months during the 3-year period before the initial cancer diagnosis1,2,13,14, 15,16,177
 Dierssen-Sotos T [132], 2016, SpainF2008–2013The MCC study17361909Breast cancerQuestionnaireUse of aspirin- not further defined1,3,4,5,10,30,36,40,50,518
 Cui Y [133], 2014, USF2001–2011Nashville Breast Health Study21541831Breast cancerTelephone interviewUse aspirin three or more times a week for a minimum duration of 1 year(regular)1,3,4,5,6,11,18,25,40,50,51,52,537
 Brasky TM [134], 2010, USF1996–2001WEB Study10572094Breast cancerSelf-reportedUse 0 days/month (non-users)1,4,5,11,25,29,36,37,38,53,6
 Cronin-Fenton DP [135], 2010, DenmarkF1991–2006Population from North Jutland and Aarhus counties, Denmark819581,950Breast cancerDanish healthcare databasesUse at least 2 prescriptions within 2 years of diagnosis(recent use)25,31,398
 Slattery ML [136], 2007, USF1999–2004Population from the southwestern United States (4-Corner’s Breast Cancer Study)23252525Breast cancerQuestionnaireUse at least thrice weekly for at least 1 month(regular)1,10,18,38,54,55,567
 Harris RE [137], 2006, USF2003–2004CHRI277493Breast cancerQuestionnaireUse at least two times per week for 2 years or more1,3,5,6,10,38,517
 Swede H [138], 2005, USF1982–1998The Roswell Park Cancer Institute14783383Breast cancerQuestionnaireUse aspirin at least once a week for at least 1 year(regular)5,10,36,40,536
 Zhang YQ [139], 2005, USF1976–2002The Case-Control Surveillance Study Revisited24061554Breast cancerQuestionnaireUse at least four times per week for 3 or more continuous months(regular)1,4,5,6,10,11, 36,37,38,40,41,53,54,61,62,63,645
 Terry MB [140], 2004, USF1996–1997The Long Island Breast Cancer Study Project14421420Breast cancerQuestionnaireUse at least once a week for 6 months or longer(ever use)1,10,29,316
 Moorman PG [141], 2003, USF1996–2000Phase II of the Carolina Breast Cancer and Carcinoma In Situ Study5002631Breast cancerQuestionnaireUse at least 8 days a month for three or more months(regular)16
 Cotterchio M [142], 2001, CanadaF1996–1998Population in Canada26962600Breast cancerQuestionnaireDaily use for≥ 2 months(any use)1,39,536
 Neugut AI [80], 1998, USF1989–1992Columbia-Prebyterian Medical Center252176Breast cancerMedical recordUse aspirin-not further defined1,4,56
Cohort studies
 Cao Y [8], 2016, USF1980–20101986–2012NHS and HPFS7424135,965Breast cancerQuestionnaireUse at least 2 times per week(regular)3,5,6,7,8,9,10,11,12,18,19,20,21,22,23,24,25,289
 Kim S [143], 2015, USF2003–2013Sister Study211850,884Breast cancerQuestionnaireUse at least once a week(current user)4,5,10,11,40,51,53, 678
 Hollestein LM [91], 2014, NetherlandsaF1998–2010PHARMO and the Eindhoven Cancer Registry58555,597Breast cancerPrescription databaseLow dose aspirin (≤ 100 mg daily)- not further defined1,2,26,278
 Brasky TM [92], 2014, USF1998–2010WHI5401142,330Breast cancerSelf-administered questionnairesUse at both baseline and year 3 visits (consistent)1,3,4,5, 6,7,10,11,18,19,22,24,25,29,30,31,,32,33,34,35,36,37,38,39,40,4142,43,44,45,46,479
 Bardia A [144], 2011, USF1986–2005The IWHS158126,580Breast cancerQuestionnaireEver use aspirin- not further defined1,3,4,5,6,10, 18,25,36,37,38,39,40,68,698
 Bosco JL [145], 2011, USF1995–2007BWHS127559,000Breast cancerQuestionnaireUse aspirin ≥ 3 days per week (regular)1,3,4,10,18,25,29,709
 Eliassen AH [146], 2009, USF1989–2003NHS II1229112,292Breast cancerQuestionnaireUse aspirin ≥2 times per week(regular)5,6,7,10,36,38,40,53, 68,719
 Friisa S [147], 2008, DenmarkF1993–2003The prospective Diet, Cancer and Health cohort study39628,695Breast cancerQuestionnaireUse more than one pill per month1,4,25,38,50,537
 Gierach GL [148], 2008, USF1995–2003AARP4451126,124Breast cancerQuestionnaireEver use aspirin- not further defined1,5,6,11,25,29,40,49, 727
 Ready A [149], 2008, USF2000–2004VITAL cohort47935,323Breast cancerQuestionnaireUse at least once a week for a year during the last 10 years(any use)1,5,6,10,11,19,28,29,36,37,40,72, 73,747
 Siemes C [96], 2008, NetherlandF1992–2004The Rotterdam Study1757621Breast cancerQuestionnaire and prescriptions.The absence of a prescription for any non-aspirin or aspirin NSAID(no use)1,3,10,25,36,37,50, 758
 Jacobs EJ [98], 2007, USF1992–2003Cancer Prevention Study II Nutrition Cohort312176,303Breast cancerQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,3,4,10,11,18,20,25, 28,29,45,48,498
 Gill JK [150], 2007, USF1993–2002Multiethnic Cohort145798,920Breast cancerQuestionnaireUse at least two times per week for 1 month or longer1,4,5,6,10,11, 25,28,36,37,40,50,51,767
 Gallicchio L [151], 2007, USF1989–2006CLUE II (“Give us a Clue to Cancer and Heart Disease”)41815,651Breast cancerQuestionnaireUse aspirin in the last 48 h(current user)17
 Marshall SF [152], 2005, USF1995–2001The California Teachers Study2391114,640Breast cancerQuestionnaireUse at least once a Week(regular)1,3,5,6,10,11,18, 25,28,51,53,59,779
 Rahme E [153], 2005, CanadaaF1998–2202RAMQ66423,573Breast cancerPrescription databaseEver use aspirin during the year prior to the index date1,25,28,53,57,58,607
 Rodríguez LA [154], 2004, UKaF1995–2001GPRD370823,708Breast cancerPrescription databaseNo recorded use at any time before the index date(nonuser)1,3,6,10,25,29,53, 62,65,668
 Harris RE [155], 1999, USF1991–1996Population from The Ohio State University Comprehensive Cancer Center in Columbus, Ohio31632,505Breast cancerQuestionnaireUse aspirin ≥1 pill per week15
 Schreinemachers DM [63], 1994, USF1971–1987The National Health and Examination Survey Ι14712,668Breast cancerSelf reportedUse aspirin during the 30-day period before the interview1,26
 Paganini-Hill A [103], 1989, USF1981–1988Population from Leisure World, Laguna Hills, US21413,870Breast cancerQuestionnaireAspirin use: none,<daily, daily24

1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = Alternate Healthy Eating Index-2010, 9 = PSA test in past 2 y, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause, 38 = gravidity, 39 = history of arthritis, 40 = age at first birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of ulcer, 48 = diabetes, 49 = hypertension, 50 = number of deliveries, 51 = menopausal status, 52 = household income, 53 = personal history of benign breast disease, 54 = study center, 55 = referent year, 56 = percentage Native American ancestry, 57 = breast procedure in the prior 3 years, 58 = other breast disease in the prior 3 years, 59 = neighborhood socioeconomic status, 60 = visit to a gynecologist in the prior year, 61 = practice of breast selfexamination, 62 = year of interview, 63 = number of physician visits 2 years before hospitalization, 64 = duration of oral contraceptive use, 65 = paracetamol, 66 = steroid, 67 = time since the last mammogram and duration and frequency of use, 68 = use of oral contraceptives, 69 = relative weight at age 12, 70 = questionnaire cycle, 71 = weight change since age 18 years, 72 = number of breast biopsies, 73 = history of surgical menopause, 74 = years of combined estrogen and progesterone hormone therapy, 75 = C-reactive protein level, 76 = all pain medication use, 77 = parity status before age 30

AARP AARP diet and health study, BWHS Black Women’s Health Study, CHRI Cancer Hospital and Richard J. Solove Research Institute, GPRD General Practitioners Research Database, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, MCC the Spanish Multi-Case-control study, NHS nurses’ health study, RAMQ Re′gie de l’Assurance Maladie du Que’bec, VITAL the vitamins and lifestyle, WEB Western New York exposures and breast cancer study, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 8

Characteristics of included studies- ovarian cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Peres LC [156], 2016, USF2010–2015AACES541731Epithelial ovarian cancerQuestionnaireUse at least once a week or at least 5 days out of the month, at any point in their lifetime(regular)1,4,5,10,18, 29,48,49,50,51,52,53,54,557
 Baandrup L [157], 2015, DenmarkF2000–2011The Danish Cancer Registry410358,706Epithelial ovarian cancerThe Danish Prescription RegistryUse < 2 prescriptions (non-users)1,5,7,25,29,43,50,52,55, 56,57,58,8
 Lo-Ciganic WH [158], 2012, USF2003–2008HOPE study6251210Ovarian cancerQuestionnaireUse at least 2 tablets per week for 6 months or more(regular)1, 5,7,10,11,30,39,42,49,50,55,59,607
 Ammundsen HB [159], 2012, DenmarkF1995–1999Danish MALOVA study7561564Ovarian cancerQuestionnaireUse two times or more per week for more than 1 month1,38,50,55,616
 Pinheiro SP [160], 2010, USF1992–2003New England Case-Control Study11201160Ovarian cancerQuestionnaireUse at least twice aweek(regular)1, 547
 Wu AH [161], 2009, USF1998–2002Population from Los Angeles County582668Ovarian cancerQuestionnaireUse aspirin medication 2 or more times a week for 1 month or longer1,4,5,11,49, 50,51,55, 628
 Wernli KJ [162], 2008, USF1998–2001Population from Wisconsin and Massachusetts4002107Ovarian cancerTelephone interviewUse aspirin for more than 6 months and more than twice per week(ever use)1,4,30, 43,49,517
 Merritt MA [163], 2008, AustraliaF2002–2005Australian Ovarian Cancer Study15641502Ovarian cancerSelf-administered questionnairesEver use of aspirin-not further defined1,5,50,556
 Schildkraut JM [164], 2006, USF1999–2003North carolina ovarian cancer study586627Ovarian cancerIn-person questionnairesUse at least 3 month of use during the 5-year period(regular)1,4,5,11,43,49, 50,53,60,63,647
 Moysich KB [165], 2001, USF1982–1998RPCI buffalo5471094Ovarian cancerSelf-administered questionnairesUse at least once a week for 6 consecutive months(regular)1,4, 40,49,55, 656
 Rosenberg L [166], 2000, USF1976–1998Patients from hospital in Baltimore, Boston, New York, and Philadelphia7804623Ovarian cancerQuestionnaireUse at least 1 day per week for at least 6 months(regular)1,30,597
 Tavani A [167], 2000, USF1992–1999Population from Italy749898Ovarian cancerQuestionnairesUse at least once a week for more than six consecutive months(regular)1,5,10,37,50,54, 55,596
 Cramer DW [168], 1998, USF1992–1997Patients from hospital in eastern Massachusetts and all of New Hampshire563523Ovarian cancerIn-person interviewsUse at least once a week for at least 6 months1,5,9,46,54,55,66,67,688
Cohort studies
 Brasky TM [92], 2014, USF1998–2010WHI445116,248Ovarian cancerQuestionnaireUse at both baseline and year 3 visits (consistent)1,3,4,5, 6, 10,11,18,19,22,24,25,29,30,31,,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,479
 SetiawanVW [169], 2012, MultinationalF1993–2008MEC27564,000Ovarian cancerQuestionnaireUse at least 2 times a week for 1 month or longer1,11,25,36,50, 557
 Murphy MA [170], 2012, USF1995–2006AARP43896,710Ovarian cancerMailed questionnairesUse one or more pills per week(regular)1,4,11,25,36,37,43,50,55,7
 Prizment AE [171], 2010, USF1992–2006IWHS15721,694Ovarian cancerQuestionnaireHad ever taken aspirin- not further defined1,10,25,45,55,699
 Pinheiro SP [160], 2010, USF1992–2003NHS and NHS-II cohorts217628Ovarian cancerQuestionnaireUse at least twice a week(regular)1,25,517
 Lacey JV [172], 2004, USF1979–1998BCDDP11631,364Ovarian cancerTelephone interview and mailed questionnairesUse at least once a week for 1 year(regular)1,4,10,11,42,50,51,557
 Friis S [62], 2003, DenmarkaF1989–1997Population from North Jutland County3429,470Ovarian cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Akhmedkhanov A [173], 2001, USF1994–1996The NYU Women’s Health Study68680Epithelial ovarian cancerSelf-administered questionnairesUse three or more times per week for at least 6 months4,36,50, 558

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = chronic obstructive pulmonary disease or asthma, 8 = Fat distribution, 9 = religion, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause, 38 = gravidity, 39 = history of arthritis, 40 = age at first birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of ulcer, 48 = income, 49 = tubal ligation, 50 = oral contraceptive use, 51 = menopausal status, 52 = endometriosis, 53 = pelvic inflammatory disease, 54 = study site, 55 = parity, 56 = infertility, 57 = diabetes mellitus, 58 = tubal sterilization, 59 = interview year, 60 = breastfeeding, 61 = duration of oral contraceptive use, 62 = talc use, 63 = months of pregnancy, 64 = severe menstrual cramping, 65 = presence of irregular menses, 66 = menstrual, headache, or arthritic pain, 67 = ibuprofen, 68 = paracetamol, 69 = partial oophorectomy

AACES the African American Cancer Epidemiology Study, AARP AARP Diet and Health Study, BCDDP the Breast Cancer Detection Demonstration Project, HOPE hormones and Ovarian cancer prediction study, IWHS Iowa Women’s Health Study, MALOVA Danish MALignant Ovarian cancer study, MEC multiethnic cohort study, NHS nurses’ health study, NYU New York University, RPCI the Roswell Park Cancer Institute, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 9

Characteristics of included studies- endometrial cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Brons N [174], 2015, DenmarkF2000–2009Patients from Civil Registration System538272,127endometrial cancerPrescriptionUse ≥2 prescriptions on separate dates over the entire study period(ever users)1,5,25,29,48,49,50,518
 Neill AS [175], 2013, AustraliaF2005–2007ANECS1360712endometrial cancerTelephone interviewHad ever taken aspirin- not further defined1,3,10,25,36,48,50,527
 Bosetti C [176], 2010, ItalyF1992–2006Population from Italy442676Endometrial CancerQuestionnaireUse at least once a week for more than 6 months(regular)1,5,10,25,36,48, 52,53,54,555
 Fortuny J [177], 2009, USF2001–2005The EDGE Study469467endometrial cancerInterviewUse aspirin for 6 months or longer1,107
 Bodelon C [178], 2009, USF2003–2005Population from King, Pierce, and Snohomish counties330286Endometrial CancerIn-person interviewUse for more than 5 days per month for at least 6 months1,7,10,25,306
 Moysich KB [179], 2005, USF1982–1998RPCI Institute427427Endometrial CancerQuestionnaireUse at least once a week for 6 months (regular)1,5,10,36,37,486
Cohort studies
 Brasky TM [92], 2014, USF1998–2010WHI86585,351Endometrial cancerQuestionnaireUse at both baseline and year 3 visits (consistent)1,3,4,5, 6, 10,11,18,19,22,24,25,29,30,31, 32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,479
 Brasky TM [180], 2013, USF2000–2010VITAL Cohort24822,268Endometrial CancerMailed baseline questionnaireUse≥4 days/week and ≥ 4 years(high use)1,3,4,5,6,10,11,18,25,29,31,36.37,39,45,47,48, 50,57,58,597
 SetiawanVW [169], 2012, MultinationalF1993–2008MEC62064,000Endometrial cancerQuestionnaireUse at least 2 times a week for 1 month or longer1,3,10,11,25,36,48,52,.7
 Prizment AE [171], 2010, USF1992–2006IWHS31121,694Endometrial cancerQuestionnaireHad ever taken aspirin- not further defined1,6,10,25,36,37,50,52, 569
 Danforth KN [181], 2009, USF1995–2003AARP57672,524Endometrial cancerMailed questionnaireHad ever taken aspirin- not further defined3,4,10,11,18,36,37,45,48,50,52,567
 Viswanathan AN [182], 2008, USaF1980–2004The NHS43682,971Endometrial cancerMedical recordUse at least 1 tablet per week or 1 day per week(current user)4,10,18,25,37,40,60,61,626
 Friis S [62], 2003, DenmarkaF1989–1997Population of North Jutland County4529,470Endometrial cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Schreinemachers DM [63], 1994, USF1971–1987The National Health and Examination Survey Ι2612,668Endometrial cancerSelf reportedUse aspirin during the 30-day period before the interview1,26

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = calendar year, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause, 38 = gravidity, 39 = history of arthritis, 40 = age at first birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of ulcer, 48 = parity, 49 = obesity, 50 = diabetes, 51 = chronic obstructive pulmonary disease, 52 = oral contraceptive use, 53 = study center, 54 = period of interview, 55 = menopausal status, 56 = hypertension, 57 = years of oral contraceptive use, 58 = oophoerectomy, 59 = history of stroke, 60 = waist-hip ratio, 61 = intrauterine device use, 62 = height

AARP AARP diet and health study, ANECS Australian National Endometrial Cancer Study, EDGE Study estrogen, diet, genetics, and endometrial cancer, IWHS Iowa Women’s Health Study, MEC multiethnic cohort study, NHS nurses’ health study, RPCI the Roswell Park Cancer Institute, VITAL the vitamins and lifestyle, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 10

Characteristics of included studies- cervix uterus

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Friel G [183], 2015, USF1982–1998RPCI2721072Cervical CancerQuestionnaireUse at least once a week for 6 months(regular)1,3,4,5, 6,7,8,9,10,11,12,137
Cohort studies
 Wilson JC [184], 2013, UKaF1995–2010CPRD7243479Cervical CancerPrescription databaseUse of aspirin - not further defined3,14,15,16,17,18,19,20,217
 Friis S [62], 2003, DenmarkaF1989–1997Population from North Jutland County1529,470Cervix uterus cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Schreinemachers DM [63], 1994, USF1971–1987The National Health and Examination Survey Ι2912,668Cervix uterus cancerSelf reportedUse aspirin during the 30-day period before the interview1,26

1 = age, 2 = sex, 3 = smoking, 4 = spermicide contraceptive use, 5 = circulatory system disease, 6 = education, 7 = age at first pregnancy, 8 = menopausal status, 9 = genital tract disease, 10 = year survey completed,11 = blood and blood-forming organs disease, 12 = oral, 13 = barrier, 14 = HRT use, 15 = hormone contraceptive use, 16 = systemic steroids, 17 = DMARD use, 18 = history of cancer, 19 = years of follow-up, 20 = sexually transmitted infections, 21 = use of antiviral drugs

CPRD clinical practice research datalink, RPCI the Roswell Park Cancer Institute

aStudy deemed to be prone to immortal time bias

Table 11

Characteristics of included studies- prostate cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Iqbal U [47], 2017, ChinaM2001–2011The Taiwan NHI database32,419129,676Prostate cancerPrescriptionPatients had aspirin prescribed at least for 2 months during the 3-year period before the initial cancer diagnosis1,2,13,14, 15,16,177
 Skriver C [185], 2016, DenmarkM2000–2012Danish nationwide registries35,600177,992Prostate cancerPrescriptionUse aspirin ≥ 2 prescriptions redeemed on separate dates(ever use)1, 4,14,28,30,36,37,38,,40,8
 Veitonmäki T [186], 2013, FinlandM1995–2002Finnish Cancer Registry13,47824,657Prostate cancerPrescription databaseEver use aspirin- not further defined1,328
 Murad AS [187], 2011, UKM2001–2008ProtecT10165043Prostate cancerQuestionnaireEver use aspirin- not further defined1,28,33,358
 Salinas CA [188], 2010, USM2002–2005SEER cancer registry1000942Prostate cancerQuestionnaireUse at least once per week for 3 months(ever use)1,11,427
 Harris RE [189], 2007, USM1999–2005CHRI2439Prostate cancerMedical-recordAt least two times per week for 2 years or more1,3,5,6,105
 Bosetti C [190], 2006, ItalyM1991–2002Population from the greater Milan area, the provinces of Pordenone, Gorizia, Latina and the urban area of Naples12611131Prostate cancerStandard questionnaireUse at least once a week for more than 6 months (regular)1,4,5,345
 Dasgupta K [191], 2006, CanadaM1999–2002RAMQ20252150Prostate cancerPrescription databaseDid not receive any prescription for aspirin (nonuser)1,436
 Liu X [192], 2006, USM2001–2004Population from Cleveland, Ohio471468Prostate cancerPersonal interviewUse at least twice a week for more than a month(any use)1,11,445
 Menezes RJ [193], 2006, USM1982–1998RPCI10291029Prostate cancerQuestionnaireUse at least once a week for at least 6 months (regular)1,5,105
 Perron L [194], 2003, CanadaM1993–1995RAMQ222111,105Prostate cancerPrescription databaseEver use aspirin- not further defined1,506
 Norrish AE [195], 1998, New ZealandM1996–1997Auckland Prostate Study317480Prostate cancerQuestionnaireAt least once per week(regular)1,50,51,52,537
 Neugut AI [80], 1998, USM1989–1992Columbia-Prebyterian Medical Center319189Prostate cancerMedical recordUse aspirin-not further defined1,4,56
Cohort studies
 Cao Y [8], 2016, USM1980–20101986–2012NHS and HPFS1019135,965Prostate cancerQuestionnaireUse at least 2 times per week(regular)3,5,6,7,8,9,10,11,12,18,19,20,21,22,23,24,25,709
 Lapi F [196], 2016, ItalyaM2002–2013HSD18713,453Prostate CancerPrescription databaseUse low-dose aspirin-not further defined1,3,6,9,13,14,16,28,38,54,55,56,578
 Nordström T [197], 2015, SwedenaM2007–2012Population from Stockholm County, Sweden8430204,241Prostate cancerSwedish Prescribed Drug RegisterAny dispensed prescription of the drug within 2 years before biopsy1,4,13,14, 58,59,605
 Hollestein LM [91], 2014, NetherlandsaM1998–2010PHARMO and the Eindhoven Cancer Registry88253,679Prostate cancerPrescription databaseLow dose aspirin (≤ 100 mg daily)- not further defined1,2,26,278
 Shebl FM [198], 2012, USM1993–2001PLCO357329,450Prostate cancerQuestionnaireRegular use aspirin-not further defined5,11,34, 42,627
 Mahmud SM [199], 2011, CanadaaM1985–2000Saskatchewan Ministry of Health (SH) databases and the Saskatchewan Cancer Registry (SCR).900735,891Prostate cancerPrescription databaseHad a participant ever filled a prescription of aspirin in the index class at any time during his exposure history28,41,426
 Brasky TM [200], 2010, USM2000–2007VITAL Cohort154734,132Prostate cancerQuestionnaireUse aspirin ≥1 day/ week for ≥ 1 year(regular)1,4,5,9,10,11,19,30,55, 65,66,675
 Siemes C [96], 2008, NetherlandM1992–2004The Rotterdam Study2167621Prostate cancerQuestionnaire and prescriptionsThe absence of a prescription for any non-aspirin or aspirin NSAID(no use)1,3,10,618
 Jacobs EJ [98], 2007, USM1992–2003Cancer Prevention Study II Nutrition Cohort553969,810Prostate cancerQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,3,4,9,10,11,18, 20,28,29,30,318
 Platz EA [201], 2005, USM1980–2004BLSA1419748Prostate cancerSelf-reportedHad ever taken aspirin-not further defined1,28,45,687
 García Rodríguez LA [44], 2004, UKaM1995–2001GPRD20969579Prostate cancerPrescription databaseNo use of aspirin at any time before the index date(nonuser)1,45,46,47,48,498
 Friis S [62], 2003, DenmarkaM1989–1997Population of North Jutland County19629,470Prostate cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Habel LA [202], 2002, USM1964–1973The Kaiser Permanente Medical Care Program in Northern California257490,100Prostate cancerQuestionnaireUse more than six aspirin per days1,4,11,696
 Schreinemachers DM [63], 1994, USM1971–1987The National Health and Examination Survey Ι12312,668Prostate cancerSelf reportedUse aspirin during the 30-day period before the interview1,26
 Paganini-Hill A [103], 1989, USM1981–1988Population from Leisure World, Laguna Hills, US14913,870Prostate cancerQuestionnaireAspirin use: none,<daily, daily24

1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = Alternate Healthy Eating Index-2010, 9 = PSA test in past 2 y, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = mammogram in past 2 y, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = other NSAIDs, 29 = history of heart attack, 30 = diabetes, 31 = hypertension, 32 = simultaneous use of other medications (cholesterol lowering drugs, anti-diabetic drugs, antihypertensive drugs and benign prostatic hyperplasia medication), 33 = the primary care centres from which they were recruited, 34 = study center, 35 = any paracetamol use, 36 = residence (by design), 37 = use of high-dose aspirin, 38 = 5-alpha reductase inhibitors, 39 = income, 40 = selected cardiovascular drugs, and antidepressants or neuroleptics, 41 = ever visited a urologist 1–11 years prior, 42 = SCREENED and volume of family physician visits in the 5 years prior to the index date, 43 = finasteride, 44 = medical institution, 45 = calendar year, 46 = prior BPH history, 47 = number of visits to general practitioners, 48 = referrals, 49 = hospitalizations, 50 = recent medical contacts, 51 = socio-economic status, 52 = total polyunsaturated fat consumption, 53 = a-linolenic acid and ratio of dietary n-6:long-chain n-3 polyunsaturated fatty acids, 54 = presence of obesity, 55 = benign prostatic hypertrophy, 56 = alpha-adrenoreceptor antagonists, 57 = immunosuppressive drugs, 58 = natural log-transformed prostate specific antigen (PSA) concentration, 59 = PSA quotient, 60 = use of antidiabetic medication, 61 = C-reactive protein level, 62 = ibuprofen use, 63 = osteoarthritis, 64 = rheumatoid arthritis,65 = enlarged prostate, 66 = coronary artery disease, 67 = chronic joint pain, chronic headaches, and migraines, 68 = acetaminophen, 69 = and number of health checkups, 70 = red meat

BLSA Baltimore Longitudinal study of Aging, CHRI Cancer Hospital and Richard J. Solove Research Institute, GPRD general practitioners research database, HPFS Health Professionals follow-up study, HSD health search IMS health longitudinal patient database, NHS nurses’ health study, PLCO prostate, lung, colorectal and ovarian cancer screening trial, ProtecT prostate testing for cancer and Treatment, RAMQ Re′gie de l’Assurance Maladie du Que’bec, RPCI the Roswell Park Cancer Institute, SEER surveillance, epidemiology and end results, VITAL the vitamins and lifestyle

aStudy deemed to be prone to immortal time bias

Table 12

Characteristics of included studies- renal cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Karami S [203], 2016, USM/F2002–2007US Kidney Cancer Study11871204Renal-cell cancerQuestionnairesUse at least once a week for 3 months or longer, at least 2 years prior to the interview1,2,3,4,5,10,11, 27,51,528
 Tavani A [204], 2010, ItalyM/F1992–2004Population from Italian areas7551297Renal-cell cancerQuestionnairesUse at least once a week for more than 6 months(regular)1,2,3,5,6,7,27,55,567
 Gago-Dominguez M [205], 1999, USM/F1986–1994Patients from Los Angeles County12041204Renal-cell cancerQuestionnairesHad ever taken the drug 20 or more times3,5,10,27,576
 Chow WH [206], 1994, USM/F1988–1990Population from Minnesota440691Renal-cell cancerInterviewerUse at least 2 or more times per week for 1 month or longer (regular)1,3,106
 McCredie M [207], 1993, AustriliaM/F1989–1990The NSW Central Cancer Registry489523Renal-cell cancerQuestionnairesHad ever taken the drug 20 or more times1,2,3,50,58,7
 McCredie M [208], 1988, AustriliaM/F1977–1982New South Wales Central Cancer Registry360985Kidney cancerQuestionnairesHad taken a total of more than 0.1 kg1,2,3,44,59,60,616
Cohort studies
 Karami S [203], 2016, USM/F2002–2007Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial13598,807Renal cell carcinomaQuestionnairesUse at least once per week1,3,5,10,11,27,517
 Brasky TM [92], 2014, USF1998–2010WHI329141,880Kidney cancerQuestionnairesUse at both baseline and year 3 visits (consistent)1,3,4,5, 6,10,11,17,18,19,25,26,28,29,30,31,32,34,35,36,37,38,39,40,41,42,43,44,45,46,47,489
 Liu W [209], 2013, USM/F1996–2006AARP884298,468Renal cell carcinomaQuestionnairesAny use of aspirin1,2,3,4,5,6,7,10,11,18,27,53,547
 Cho E [210], 2011, USF1986–2006NHS15377,525Renal cell carcinomaQuestionnairesUse aspirin ≥2 times/week(regular)1,3,6,10,18,19,27,397
M1990–2006HPFS18049,403Renal cell carcinomaQuestionnairesUse aspirin ≥2 times/week(regular)1,3,6,10,18,19,279
 Jacobs EJ [98], 2007, USM/F1992–2003Cancer Prevention Study II Nutrition Cohort365146,113Kidney cancerQuestionnairesUse at least 30 “times” per month(daily use of adult-strength)1,2,3,5,7,10,11, 15,16,17,18,20,25, 27,458
 Friis S [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County6729,470Kidney cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι3212,668Kidney cancerSelf reportedUse aspirin during the 30-day period before the interview1,26
 Paganini-Hill A [103], 1989, USM/F1981–1988Population from Leisure World, Laguna Hills, US2513,870Kidney cancerQuestionnairesAspirin use: none,<daily, daily24

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = diabetes, 8 = fat distribution, 9 = social status, 10 = BMI,11 = race, 12 = folate, 13 = height, 14 = Alternate Healthy Eating Index-2010, 15 = PSA test in past 2 y, 16 = mammogram in past 2 y, 17 = hormone replacement therapy, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = other NSAIDs, 26 = area (county/region), 27 = hypertension, 28 = migraine, 29 = ever use of calcium supplements in the past 5 years, 30 = red meat, 31 = Nitro-vasodilator use, 32 = height, 33 = unique number of hospitalizations in the year prior to start of follow up, 34 = observational study enrollment, 35 = diet modification trial enrollment, 36 = screening for cancer, 37 = age at menarche, 38 = age at menopause, 39 = gravidity, 40 = age atfirst birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of arthritis, 48 = history of ulcer, 49 = method of interview, 50 = obesity, 51 = center, 52 = dialysis treatment, 53 = marital status, 54 = total dietary fiber, 55 = study center, 56 = year of interview, 57 = regular use of amphetamines, 58 = method of interview, 59 = phenacetin, 60 = paracetamol, 61 = urological disease

AARP AARP diet and health study, HPFS Health Professionals follow-up study, NHS nurses’ health study, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 13

Characteristics of included studies- renal pelvis and ureter

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Linet MS [211], 1995, USM/F1983–1986Cancer registries in New Jersey,Iowa and Los Angeles418405Renal pelvis and ureter cancerQuestionnaireUse 2 or more doses per week for at least 1 month or longer(regular)1,2,3,78
 Mccredie M [207], 1993, AustraliaM/F1989–1990The NSW Central Cancer Registry147523Renal pelvis cancerQuestionnaireHad ever taken the drug 20 or more times1,2,3,5,87
 Ross RK [212], 1989, USM/F1978–1982The Cancer Surveillance Program in Los Angeles County187187Renal pelvis and ureter cancerTelephone interviewsUse aspirin for more than 30 days in a single year1,2,68
 Jensen OM [213], 1989, DenmarkM/F1979–1982Patients in hospitals of Copenhagen90251Renal pelvis and ureter cancerFace-to-face interviewsUse of aspirin - not further defined1,2,47

1 = age, 2 = sex, 3 = smoking, 4 = hospital, 5 = educational level, 6 = race, 7 = geographic site, 8 = method of interview

Table 14

Characteristics of included studies- bladder cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Baris D [214], 2013, USM/F2001–2004Population from Maine, Vermont and New Hampshire783890Bladder cancerSelf-reportedUse at least 20 times(any)1,2,3,11,26,516
 Fortuny J [215], 2007, USM/F1998–2001The New Hampshire State Department of Health and Human Services’ rapid reporting Cancer Registry456369Bladder cancerInterviewUse at least four times a week for 1 month or longer prior to the reference date1,2,3,257
 Fortuny J [216], 2006,SpainM/F1997–2000Patients from five regions in Spain (Barcelona, Valle’s/Bages, Alacant, Tenerife, and Asturias)907965Bladder cancerSelf-reportedUse twice or more weekly for ≥ 1 month (regular)1,2,3,25,26,52,538
 Castelao JE [217], 2000, USM/F1987–1996SEER cancer registry15141514Bladder cancerQuestionnaireUse at least 20 times(any)3,5,53,54,55,56, 57,58,59,607
 Steineck G [218], 1995, SwedenM/F1985–1987Population from the County of Stockholm325393Bladder cancerQuestionnaireHad ever taken aspirin-not further defined1,2,3,55,56,61,62,635
Cohort studies
 Brasky TM [92], 2014, USF1998–2010WHI175142,330Bladder cancerQuestionnaireUse at both baseline and year 3 visits (consistent)1,3,4,5,6,10,11,17,18,19,25,26,,28,29,30,31,32,34,35,36,37,38,39,40,41,42,43,44,45,46,47,489
 Shih C [219], 2013, USM/F2000–2010The VITAL cohort34477,048Bladder cancerQuestionnaireUse at least once per week, for at least 1 year1,2,3,4,5,11,498
 Daugherty SE [220], 2011, USM/F1995–1996AARP1660334,908Bladder cancerQuestionnaireUse aspirin ≥ 2times/week (regular)3,10,11,25,277
1993–2001PLCO Cancer Screening704154,952Bladder cancerQuestionnaireUse aspirin ≥ 2times/week (regular)3,10,11,25,277
1994–1998The USRT Study9790,972Bladder cancerQuestionnaireUse aspirin ≥ 2times/week (regular)3,10,11,25,277
 Genkinger JM [221], 2007, USM1986–2004HPFS39249,448Bladder cancerQuestionnaireUse 2 or more times per week(regular)1,3,26,509
 Jacobs EJ [98], 2007, USM/F1992–2003Cancer Prevention Study II Nutrition Cohort867146,113Bladder cancerQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,2,3,5,7,10,11, 15,16,17,18,22, 25,45, 638
 Friis S [62], 2003, DenmarkaM/F1989–1997Population of North Jutland County16129,470Bladder cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι3512,668Bladder cancerSelf reportedUse aspirin during the 30-day period before the interview1,26
 Paganini-Hill A [103], 1989, USM/F1981–1988Population from Leisure World, Laguna Hills, US9613,870Bladder cancerQuestionnaireAspirin use: none,<daily, daily24

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = history of colorectal endoscopy, 8 = Fat distribution, 9 = social status, 10 = BMI,11 = race, 12 = folate, 13 = height, 14 = Alternate Healthy Eating Index-2010, 15 = PSA test in past 2 y, 16 = mammogram in past 2 y, 17 = hormone replacement therapy, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = diabetes, 23 = former health checkup, 24 = red meat, 25 = other NSAIDs, 26 = area (county/region), 27 = study, 28 = migraine, 29 = ever use of calcium supplements in the past 5 years, 30 = red meat, 31 = Nitro-vasodilator use, 32 = height, 33 = unique number of hospitalizations in the year prior to start of follow up, 34 = observational study enrollment, 35 = diet modification trial enrollment, 36 = screening for cancer, 37 = age at menarche, 38 = age at menopause, 39 = gravidity, 40 = age atfirst birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of arthritis, 48 = history of ulcer, 49 = indications for NSAID use, 50 = fluid intake, 51 = hispanic status, 52 = Metamizol, 53 = Acetic acids, 54 = number of years employed as hairdresser/barber, 55 = use of phenacetin, 56 = acetaminophen, 57 = Other salicylic acids, 58 = Propionic acids, 59 = Oxicam,60 = Pyrazolon derivatives, 61 = Dextropropoxyphene, 62 = Phenazon, 63 = Other analgesics (codeine, chlormezanone, caffeine), 63 = hypertension

AARP AARP diet and health study, HPFS Health Professionals follow-up study, PLCO prostate, lung, colorectal and ovarian cancer screening trial, SEER surveillance, epidemiology and end results, USRT United State Radiologic Technologist Study, VITAL the vitamins and lifestyle, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 15

Characteristics of included studies- brain tumor

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Egan KM [41], 2016, USM/F2004–2012Population in Southeastern US14331296Brain tumorInterviewUse at least twice a week for 12 consecutive months (regular)1,2,5,7,86
 Gaist D [222], 2013, DenmarkM/F2000–2009Danish Cancer Registry, Civil Registration System, National Prescription Registry, Danish National Registry of Patients, and Danisheducation and fertility registries within Statistics Denmark268818,848GliomaNational Prescription RegistryUse aspirin as a ‘low’ (≤ 100 mg) or ‘high’ (150 mg) daily dose of low-dose aspirin5,10,13,14,15,16,17,187
 Ferris J [223], 2012, USM/F2007–2010CUMC236230GliomaQuestionnaireUse at least twice a weekfor 6 months or longer(ever use)1,2,7,9,11,12,137
The UCSF281170GliomaQuestionnaireUse at leasttwice a week for 6 months or longer(ever use)1,2,7,9,11,12,13
Cohort studies
 Bannon FJ [224], 2013, UKaM/F1987–2009UK Clinical Practice Research Datalink(CPRD)505242,678Brain tumorPrescription databaseHad ever taken aspirin- not further defined1,2,87
 Daugherty SE [225], 2011, USM/F1996–2006AARP605302,767GliomaQuestionnaireUse aspirin ≥ 2 times/wk.(regular)1,2,7,197
 Friis S [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County7029,470Brain tumorPrescription database75–150 mg once daily(low-dose aspirin)1,28

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = race, 8 = state of residence, 9 = center, 10 = anti-asthma medications, 11 = individual NSAIDs, 12 = acetaminophen, 13 = statins, 14 = diabetes, 15 = stroke, 16 = allergy, 17 = asthma, 18 = antihistamines, 19 = history of heart disease using age as time metric

AARP AARP diet and health study, CPRD clinical practice research datalink, CUMC Columbia University Medical Center, UCSF University of California San Francisco

aStudy deemed to be prone to immortal time bias

Table 16

Characteristics of included studies- head and neck cancers

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Di Maso M [226], 2015, ItalyM/F1992–2008Population from Aviano, Pordenone and the greater Milan area in northern Italy198596Nasopharyngeal cancerQuestionnaireUse at least one aspirin a week for at least 6 months(regular)1,2,3,5,11,12,136
 Becker C [227], 2015, UKM/F1995–2013CPRD274516,470Head and neck cancerPrescription databaseUse aspirin ≥1 Prescription3,6,8,107
 Macfarlane TV [228], 2012, EuropeM/FARCAGE17791993Head and neck cancerQuestionnaireUse at least once a weekfor a year(regular)1,2,3,5,6,10,187
 Ahmadi N [229], 2010, USM/F2003–2007Patients from the Lombardi Comprehensive Cancer Center, at GUMC2525Head and neck cancerQuestionnaireDaily use of aspirin5,195
 Jayaprakash V [230], 2006, USM/F1982–1998RPCI529529Head and neck cancerQuestionnaireHad ever taken aspirin before the onset of the present illness1,2,3,67
 Rosenquist K [231], 2005, SwedenM/F2000–2004Population from the Southern healthcare region of Sweden132320Oral and oropharyngeal squamous cell carcinomaInterviewHad ever taken aspirin-not further defined3,66
 Bosetti C [232], 2003, ItalyM/F1992–2000Population from Italy7401779Oral and pharyngeal, laryngeal cancerQuestionnaireUse at least once a week for more than 6 months1,2,3,5,6,116
Cohort studies
 Macfarlane TV [69], 2014, UKaM/F1996–2010PCCIU database11953580Head and neck cancerPrescription databaseHad at least one Prescription (users)1,2,8,14,15,16,177
 Wilson JC [233], 2013, USM/F1993–2001PLCO316142,034Head and neck cancerQuestionnaireUse aspirin regularly -not further defined1,2,3,107
 Friis S [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County6829,470Head and neck cancerPrescription database75–150 mg once daily(low-dose aspirin)1,28

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = race, 8 = other NSAIDs, 9 = social status, 10 = BMI, 11 = area of residence, 12 = period of interview, 13 = occupation, 14 = deprivation, 15 = CHD, 16 = stroke, 17 = COX-2 inhibitors, 18 = fruit consumption, 19 = marital status

ARCAGE the alcohol-related cancers and genetic susceptibility, CPRD clinical practice research datalink, GUMC Georgetown University Medical School, PCCIU primary care clinical informatics unit database, PLCO prostate, lung, colorectal and ovarian cancer screening trial, RPCI the Roswell Park Cancer Institute

aStudy deemed to be prone to immortal time bias

Table 17

Characteristics of included studies- thyroid cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Cohort studies
 Patel D [234], 2015, USM/F1993–2001AARP292269,553Thyroid cancerQuestionnairesUse aspirin ≤ 2 times/Week(no regular use)2,3,6,8,117
PLCO5658,433Thyroid cancerQuestionnairesUse aspirin ≤ 2 times/Week(no regular use)2,3,6,8,116
U.S. Radiologic Technologists Study13360,591Thyroid cancerQuestionnairesUse aspirin ≤ 2 times/Week(no regular use)2,3,6,8,116
 Brasky TM [92], 2014, USF1998–2010WHI229142,330Thyroid cancerQuestionnairesUse at both baseline and year 3 visits (consistent)1,3,4,5,6,7,9,10,11,12,13,14,15,16,17,18,19,22,24,25,26,27,28,29,30,31,32,33,34,35,36,379

1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = weight, 9 = history of ulcer, 10 = BMI, 11 = race, 12 = duration of estrogen therapy, 13 = duration of combined postmenopausal hormone therapy, 14 = hysterectomy status, 15 = use of antihypertensive medication, 16 = history of coronary heart disease, 17 = use of cholesterol-lowering medication, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = gravidity, 27 = history of arthritis, 28 = age at first birth, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause

AARP AARP diet and health study, PLCO prostate, lung, colorectal and ovarian cancer screening trial, WHI women’s health initiative

Table 18

Characteristics of included studies- skin cancer

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Reinau D [235], 2015, UKM/F1995–2013GPRD73,26296,854Skin cancerPrescription databaseLast prescription ≤ 1 year before the index date(current user)3,6,10, 29,43,47,48,49,50,51,528
 Johannesdottir SA [236], 2012, DenmarkM/F1991–2009Population from northern Denmark18,532178,655Skin cancerPrescription recordsRedeemed > 2 prescriptions during the entire study period1,2,20,44,45,468
 Torti DC [237], 2011, USM/F1997–2000Population from New Hampshire and bordering regions10221484Skin cancerInterviewUse at least four times a week for at least 1 month1,2,3,53,54,558
 Curiel-Lewandrowski C [238], 2011, USM/F2004–2007Dana Farber Harvard Cancer Center Institutions and Dermatology Associates of Concord, Boston(USA)400600Cutaneous melanomaTelephone interviewUse at least once weekly within a year preceding the interview (current user)568
 Jeter JM [239], 2011, USM/F2000–2003The GEM study327119MelanomaSelf-reportedDaily basis for at least 3 months1,2,4,53,576
 Asgari MM [240], 2010, USM/F1994–2004KPNC415415Cutaneous squamous sell sarcinomaQuestionnaireUse at least once a week for at least 1 year(regular)3,4,5,30,53,56,58,59,60,61,62,63,64,65,66,67,688
Cohort studies
 Hollestein LM [91], 2014, NetherlandsaM/F1998–2010PHARMO and the Eindhoven Cancer Registry2363109,276Skin cancerPrescription databaseLow dose aspirin (≤ 100 mg daily)- not further defined1,2,11,128
 Wysong A [241], 2014, USF1993–1998WHI765254,728Non-melanoma skin cancerQuestionnaireUse ≥ 2 times/week for at least 2 weeks(regular)1,3,5,7,10,14,15,19,21,29,43,69,70,71,72,73,746
 Brasky TM [92], 2014, USF1998–2010WHI585142,330MelanomaSelf-administered questionnairesUse at both baseline and year 3 visits (consistent)1,3,4,5,6,10,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,379
 Jeter JM [242], 2012, USF1980–2008NHS17,07492,125Skin cancerQuestionnaireUse at least 1–2 tablets/week or 1 day/week of regular use at any lifetime(current user)1,3,4,7,10,14,15,54,57,75,76,77,78,797
 Cahoon EK [243], 2012, USM/F1994–1998 2003–2005United States Radiologic Technologists study221558,213Basal cell carcinomaQuestionnaireUse at least 1 days per month in the past year1,2,808
 Asgari MM [244], 2008, USM/F2000–2005The VITAL cohort21639,909MelanomaQuestionnaireUse at least once a week for a year in the 10-year period before baseline(ever use)1,2,4,5,7,15,29, 30,56,59,69,73,81,82,838
 Jacobs EJ [98], 2007, USM/F1992–2003Cancer Prevention Study II Nutrition Cohort1049146,113MelanomaQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,2,3,5,10,13,14,18,19,36,38,39,40,41,428
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι6912,668MelanomaSelf reportedUse aspirin during the 30-day period before the interview1,26

1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = skin reaction to the sun, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = unique number of dispensing, 12 = unique number of hospitalizations in the year prior to start of follow up, 13 = race, 14 = physical activity, 15 = fruit, vegetable and/or vitamin intake, 16 = ever use of calcium supplements in the past 5 years, 17 = red meat, 18 = hormone replacement therapy, 19 = other NSAIDs, 20 = area (county/region), 21 = migraine, 22 = Nitro-vasodilator use, 23 = observational study enrollment, 24 = diet modification trial enrollment, 25 = screening for cancer, 26 = age at menarche, 27 = age at menopause, 28 = gravidity, 29 = history of arthritis, 30 = history of ulcer, 31 = age at first birth, 32 = duration of estrogen therapy, 33 = duration of combined postmenopausal hormone therapy, 34 = hysterectomy status, 35 = use of antihypertensive medication, 36 = history of coronary heart disease, 37 = use of cholesterol-lowering medication, 38 = mammography, 39 = history of colorectal endoscopy, 40 = history of PSA testing, 41 = diabetes, 42 = hypertension,43 = the number of general practitioner visits in the year before the index date, 44 = use of systemic glucocorticoids, cytostatic or immunosuppressive medication, 45 = drugs with pigmenting adverse effects, 46 = Charlson comorbidity index, 47 = photosensitising or phototoxic drugs,48 = inflammatory bowel disease, 49 = ischemic stroke/ transient ischemic attack, 50 = ischemic heart disease, 51 = psoriasis, 52 = systemic glucocorticoids and other immunosuppressants, 53 = skin type, 54 = lifelong number of painful sunburns, 55 = lifelong cumulative number of hours of sun exposure, 56 = number of sunburns of children, 57 = number of moles, 58 = eye color, 59 = natural hair color, 60 = exposure to industrial chemicals, 61 = history of freckling, 62 = outdoor sun exposure, 63 = occupational sun exposure, 64 = tanning bed use, 65 = history of high-risk exposures such as UV light, 66 = burn scar, 67 = radiation treatment, 68 = arsenic exposure, 69 = personal history of nonmelanoma skin cancer, 70 = personal history of melanoma, 71 = current and childhood summer sun exposure, 72 = sunscreen use, 73 = history of cardiovascular disease, 74 = regional solar radiation (Langleys), 75 = menopausal status and use of postmenopausal hormones, 76 = questionnaire cycle, 77 = ability to tan, 78 = UV-B availability at state of residence, 79 = height, 80 = solar UV exposure quartile calculated from summer erythemal UV values weighted by time outdoors, 81 = ever had moles removed, 82 = chronic pain in last year, 83 = kidney disease or ulcer

GEM the genes, environment, and melanoma study, GPRD general practitioners research database, KPNC Kaiser Permanente Northern California population, NHS nurses’ health study, VITAL the vitamins and lifestyle, WHI women’s health initiative

aStudy deemed to be prone to immortal time bias

Table 19

Characteristics of included studies- lymphoma

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Baecklund E [245], 2006, SwedishM/F196–1995From the Swedish Inpatient Register269225LymphomaHospital recordsUse aspirin for 4 consecutive weeks15,165
 Zhang YQ [246], 2006, USM/F197–2002Subjects were recruited from patients admitted to hospitals in New York, Philadelphia, Boston and Baltimore4121524Non-Hodgkin lymphomaNurse-interviewers administered standard questionnairesUse at least four times per week for at least three or more continuous months(regular)1,2,7,87
 Flick ED [247], 2006, US+M/F200–2004Population from the California counties of San Francisco, Alameda, Marin, Contra Costa, San Mateo, and Santa Clara604638Non-Hodgkin lymphomaInterviewUse at least 2 days per week for 3 months or longer during the past 20 years1,2,177
 Baker JA [248], 2005, USM/F198–1998RPCI6282512Non-Hodgkin lymphomaQuestionnaireUse at least once per week for 6 months15
 Chang ET [249], 2004, USM/F1997–2000population from the greater Boston, Massachusetts, metropolitan area and in the state of Connecticut565679Hodgkin’s lymphomaTelephone interviewUse two or more tablets per Week(regular)1,2,3,9,176
 Zhang YW [250], 2004, USM/F1996–2000Patients in Yale Cancer Center’s Rapid Case Ascertainment Shared Resource(RCA)601717Non-Hodgkin lymphomaIinterviewUse at least once a day for a period of 6 months or longer previous to 1 year ago1,4,10,187
Cohort studies
 Hollestein LM [91], 2014, Netherlands aM/F1998–2010PHARMO and the Eindhoven Cancer Registry256109,276LymphomaPrescription databaseLow dose aspirin (≤100 mg daily)- not further defined1,2,11,128
 Birmann BM [251], 2014, USF1976–2008NHS19685,942Multiple myelomaQuestionnaire81-mg “baby” and 325-mg “adult” strength1,108
M1986–2008HPFS13247,029Multiple myelomaQuestionnaire81-mg “baby” and 325-mg “adult” strength1,108
 Teras LR [252], 2013, USM/F1992–2007The CPS-II Nutrition Cohort Cancer Prevention Study-II (CPS-II) Nutrition Cohort1709149,570LymphomaQuestionnaireUse aspirin ≥30 aspirin pills/Month(regular)1,3,4,5,6,10,19,20, 21,22,23,24,257
 Chang ET [253], 2011, DenmarkaM/F1995–2008Population from Denmark16598089Hodgkin lymphomaPrescription databaseUse aspirin ≥ 2 times per week1,2,13,148
 Walter RB [254], 2011, USM/F2000–2002VITAL Study22464,839LymphomaQuestionnaireHad ever taken low dose aspirin(81 mg)4,21,23,26,27,28,29,336
 Erber E [255], 2009, USM/F199–1996MEC Study896193,050Non-Hodgkin LymphomaSelf-completed questionnaireUse at least two times per week for 1 month or longer5,6,108
 Cerhan JR [256], 2003, USM/F199–1999IWHS13027,290Non-Hodgkin LymphomaSelf-completed questionnaireHad ever taken aspirin- not further defined1,3,6,17,21,25, 29,30,31,327
 Friis S [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County5729,470Non-Hodgkin’s lymphomaPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι4812,668LymphomaSelf reportedUse aspirin during the 30-day period before the interview1,26

1=age, 2=sex, 3=smoking, 4=family history, 5=educational level, 6=alcohol intake, 7=year of interview, 8=study center, 9=use of other analgesics, 10=BMI, 11=unique number of dispensing, 12=unique number of hospitalizations in the year prior to start of follow up, 13=Charlson comorbidity index, 14= history of connective tissue disorder, 15=auranofin, chlorambucil, cyclophosphamide, cyclosporine, D-penicillamine, and podophyllotoxin, 16=disease activity, 17=residence, 18=menopausal status, 19=race, 20=sitting time, 21=diabetes status, 22=rheumatoid arthritis status, 23=cholesterol-lowering drug use, 24=acetaminophen use, 25=postmenopausal hormone use, 26=self-reported health, 27=history of coronary artery disease, 28=stroke, 29=marital status, 30=transfusion history,31= red meat and fruit intake,32= replacement therapy, 33=history of fatigue/lack of energy

HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, MEC multiethnic cohort study, NHS nurses’ health study, RPCI the Roswell Park Cancer Institute, VITAL the vitamins and lifestyle

aStudy deemed to be prone to immortal time bias

Table 20

Characteristics of included studies- leukemia

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Ross JA [257], 2011, USM/F2005–2009The MCSS734697LeukemiaQuestionnaireUse at least once per week for at least 1 year1,7,109
 Weiss JR [258], 2006, USM/F1981–1998RPCI169676LeukemiaQuestionnaireUse at least once per week for 6 months(regular)1,26
 Oleske D [7], 1985, USM/F1975–1981Hairy Cell Tumor Registry and Treatment Center45134LeukemiaQuestionnaireUse three times a week or more for more than 2 months1,2,6,116
Cohort studies
 Jacobs EJ [98], 2007, USM/F1992–2003Cancer Prevention Study II Nutrition Cohort465146,113LeukemiaQuestionnaireUse at least 30 “times” per month(daily use of adult-strength)1,2,3,5,10,11,12,13,14,15,16,17,18,198
 Kasum CM [259], 2003, USF1992–2000IWHS8128,224LeukemiaQuestionnaireHad ever taken aspirin- not further defined1,3,58
 Friis S [62], 2003, DenmarkaM/F1989–1997Population from North Jutland County6929,470LeukemiaPrescription database75–150 mg once daily(low-dose aspirin)1,28
 Schreinemachers DM [63], 1994, USM/F1971–1987The National Health and Examination Survey Ι3912,668LeukemiaSelf reportedUse aspirin during the 30-day period before the interview1,26

1=age, 2=sex, 3=smoking, 4=family history, 5=educational level, 6=residence, 7=other analgesic use, 8=fat distribution, 9=social status, 10=BMI, 11=race, 12=physical activity level, 13=use of hormone replacement therapy, 14=history of mammography, 15=history of colorectal endoscopy, 16=use of non-aspirin NSAIDs, 17= history of heart attack, 18=diabetes, 19=hypertension

IWHS Iowa Women’s Health Study, MCSS the Minnesota Cancer Surveillance System, RPCI the Roswell Park Cancer Institute

aStudy deemed to be prone to immortal time bias

Table 21

Characteristics of included studies- small intestine neuroendocrine tumors

Study sourceSexStudy periodSource of subjectsNo of caseNo of control/cohort sizeCancer siteExposure assessmentExposure DefinitionAdjustment for covariatesStudy quality
Case-control studies
 Rinzivillo M [260], 2016, ItalyM/F2009–2012Population from Universities of Rome and Bologna and at the European Institute of Oncology215860Small Intestine Neuroendocrine TumorsQuestionnaireUse at any dose at least twice a week for more than one consecutive year1,2,7

1= age, 2=sex

Characteristics of included studies- gastric cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = marriage, 8 = fat distribution, 9 = social status, 10 = BMI, 11 = total cholesterol, 12 = triglyceride, 13 = charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = angiotensin II receptor blockers, 18 = helicobacter pylori, 19 = history of diabetes, 20 = resident district, 21 = percent body fat, 22 = HDL cholesterol, 23 = LDL cholesterol, 24 = period of interview, 25 = race, 26 = gastro-esopageal refiux disease, 27 = antacid use, 28 = upper gastrointestinal tract history, 29 = health plan, 30 = duration of continuous, 31 = calendar year enrollment in the health plan at the date of diagnosis, 32 = interview year, 33 = center, 34 = religion, 35 = comorbidity, 36 = total calorie, fibre and calcium intake, 37 = fruit, vegetable and/or vitamin intake, 38 = physical activity, 39 = processed meat intake AARP AARP diet and health study, GHC Group Health Cooperative, HFHS Henry Ford health system’s health alliance plan, KNHI Korean National Health Insurance database aStudy deemed to be prone to immortal time bias Characteristics of included studies- esophagus cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = marriage, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race 12 = gastroesopageal refiux disease, 13 = other NSAID 14 = upper gastrointestinal tract history, 15 = antacid use, 16 = birthplace,17 = health plan, 18 = duration of continuous enrollment in the health plan at the date of diagnosis, 19 = calendar year, 20 = total calorie, fibre and calcium intake, 21 = fruit, vegetable and/or vitamin intake, 22 = physical activity, 23 = CHD, 24 = stroke, 25 = COX-2 inhibitors, 26 = duration of observation in the database, 27 = deprivation, 28 = household income, 29 = cumulative and frequency of gastroesophageal reflux symptoms 10 y before diagnosis, 30 = location, 31 = job type, 32 = year of completing the questionnaire, 33 = general practice AARP AARP diet and health study, FINBAR the factors influencing the Barrett’s adenocarcinoma relationship study, GHC Group Health Cooperative, GPRD General Practitioners research database, HFHS Henry Ford health system’s health alliance plan, PCCIU primary care clinical informatics unit database, RPCI the Roswell park cancer Institute aStudy deemed to be prone to immortal time bias Characteristics of included studies- colorectal cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = race, 8 = BMI, 9 = marital status, 10 = self-rated health, 11==C-reactive protein level, 12 = cholesterol, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = angiotensin II receptor blockers, 18 = physical activity 19 = fruit, vegetable and/or vitamin intake, 20 = seafood and dairy foods intake, 21 = number of PCP visits in the year before the index date, 22 = other NSAIDs, 23 = paracetamol, 24 = insulin, 25 = oral steroids, 26 = area (county/region), 27 = hormone replacement therapy, 28 = history of diabetes mellitus, 29 = history of cholecystectomy, 30 = history of colonoscopy, 31 = chronic obstructive pulmonary disease or asthma,32 = antidepressants, 33 = migraine,34 = total energy intake, 35 = deprivation index, 36 = hypertension ampling probability, 37 = ever use of calcium supplements in the past 5 years, 38 = primary care practitioner, 39 = dietary fat intake, 40 = sampling probability, 41 = morbidity (diabetes, ischemic heart disease, hypertension, stroke, colitis, rheumatoid arthritis, and osteoarthritis), 42 = former health checkup, 43 = red meat, 44 = Nitro-vasodilator use, 45 = number of drugs, 46 = number of physician encounters, 47 = all-cause hospitalization in prior year, 48 = dietary fiber, 49 = folate, 50 = height, 51 = Alternate Healthy Eating Index-2010, 52 = PSA test in past 2 y, 53 = mammogram in past 2 y, 54 = duration of diabetes, 55 = propensity score at baseline, 56 = unique number of hospitalizations in the year prior to start of follow up, 57 = observational study enrollment, 58 = diet modification trial enrollment, 59 = screening for cancer, 60 = age at menarche, 61 = age at menopause, 62 = gravidity, 63 = age atfirst birth, 64 = duration of estrogen therapy, 65 = duration of combined postmenopausal hormone therapy, 66 = hysterectomy status, 67 = use of antihypertensive medication, 68 = history of coronary heart disease, 69 = use of cholesterol-lowering medication, 70 = history of arthritis, 71 = history of Ulcer, 72 = unique number of dispensing AARP AARP diet and health study, CHRI Cancer Hospital and Richard J. Solove Research Institute, GPRD General Practitioners Research Database, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, KPMCP Kaiser Permanente Medical Care Program of Northern California, MEC Multiethnic Cohort Study, MECC the molecular epidemiology of colorectal cancer, NHS nurses’ health study, RAMQ Re′gie de l’Assurance Maladie du Que’bec, SCCS study of colorectal cancer in Scotland, THIN the health improvement Network, VITAL the vitamins and lifestyle, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- hepato-biliary cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = marriage, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race,12 = primary sclerosing cholangitis (PSC), 13 = non-PSC-related cirrhosis, 14 = biliary tract diseases, 15 = diabetes, 16 = hepatitis B or C virus infection, 17 = rare metabolic disorders, 18 = use of paracetamol, antidiabetic medications, and statins,19 = follow–up duration, 20 = the date of the diabetes diagnosis, 21 = cohort (AARP, AHS, USRT, PLCO, HPFS, CPSII, IWHS, BWHS, WHI, NHS), 22 = biliary stone status AARP AARP diet and health study, AHS Agriculture Health Study, BCDDP the breast cancer detection demonstration project, BWHS black women’s health study, CPRD clinical practice research datalink, CPSII cancer prevention study II, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, LGH Leicester General Hospital NHS Trust, NHIS-NSC National Health Insurance Service National Sample Cohort, NHS nurses’ health study, NNUH Norfolk and Norwich University Hospital, PLCO prostate, lung, colorectal and ovarian cancer screening trial, USRT United State Radiologic Technologist Study, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- pancreatic cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = diabetes, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race, 12 = folate, 13 = height, 14 = Alternate Healthy Eating Index-2010, 15 = PSA test in past 2 y, 16 = mammogram in past 2 y, 17 = hormone replacement therapy, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = other NSAIDs, 26 = area (county/region), 27 = prior cancer, 28 = migraine, 29 = ever use of calcium supplements in the past 5 years, 30 = red meat, 31 = Nitro-vasodilator use, 32 = height, 33 = unique number of hospitalizations in the year prior to start of follow up, 34 = observational study enrollment, 35 = diet modification trial enrollment, 36 = screening for cancer, 37 = age at menarche, 38 = age at menopause, 39 = gravidity, 40 = age atfirst birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of arthritis, 48 = history of ulcer, 49 = hypertension, 50 = H. pylori CagA seropositivity, 51 = ABO blood group A vs. non-A, 52 = ABO blood group O vs. non-O, 53 = center, 54 = year of interview, 55 = history of chronic pancreatitis GPRD General Practitioners Research Database, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, NHS nurses’ health study, QPCS the Queensland Pancreatic Cancer Study, RPCI the Roswell Park Cancer Institute, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- lung cancer 1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = Alternate Healthy Eating Index-2010, 9 = PSA test in past 2 y, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = history of coronary heart disease, 32 = diabetes, 33 = hypertension, 34 = housing type, 35 = history of arthritis, 36 = interview year, 37 = history of COLD, 38 = study, 39 = use of acetaminophen, 40 = smoking cessation advice by general practitioner, 41 = smoking cessation treatment, 42 = number of visits to general practitioner, 43 = number of referrals, 44 = use of oral corticosteroids, 45 = antihypertensives and other lipid-lowering drugs, 46 = chronic obstructive pulmonary disease, 47 = cerebrovascular disease, 48 = ischemic heart disease, 49 = menopausal status, 50 = age started and years since quitting smoking, 51 = emphysema, 52 = randomization arm of the DM trial, 53 = history of ulcer, migraine or chronic headache, osteoarthritis or chronic joint pain, 54 = coronary artery disease, 55 = C-reactive protein level, 56 = pack years of smoking, 57 = cholesterol, 58 = any heart disease/heart attack AHFTS American Health Foundation Tobacco Study, DDCHS Danish Diet Cancer and Health Study, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, MSKCC Memorial Sloan-Kettering Cancer Center, NELCS New England Lung Cancer study, NHS nurses’ health study, NICCC National Israel Cancer Control Center, NYU New York University, RPCI the Roswell Park Cancer Institute, THIN the Health Improvement Network, VITAL the vitamins and lifestyle, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- breast cancer 1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = Alternate Healthy Eating Index-2010, 9 = PSA test in past 2 y, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause, 38 = gravidity, 39 = history of arthritis, 40 = age at first birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of ulcer, 48 = diabetes, 49 = hypertension, 50 = number of deliveries, 51 = menopausal status, 52 = household income, 53 = personal history of benign breast disease, 54 = study center, 55 = referent year, 56 = percentage Native American ancestry, 57 = breast procedure in the prior 3 years, 58 = other breast disease in the prior 3 years, 59 = neighborhood socioeconomic status, 60 = visit to a gynecologist in the prior year, 61 = practice of breast selfexamination, 62 = year of interview, 63 = number of physician visits 2 years before hospitalization, 64 = duration of oral contraceptive use, 65 = paracetamol, 66 = steroid, 67 = time since the last mammogram and duration and frequency of use, 68 = use of oral contraceptives, 69 = relative weight at age 12, 70 = questionnaire cycle, 71 = weight change since age 18 years, 72 = number of breast biopsies, 73 = history of surgical menopause, 74 = years of combined estrogen and progesterone hormone therapy, 75 = C-reactive protein level, 76 = all pain medication use, 77 = parity status before age 30 AARP AARP diet and health study, BWHS Black Women’s Health Study, CHRI Cancer Hospital and Richard J. Solove Research Institute, GPRD General Practitioners Research Database, HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, MCC the Spanish Multi-Case-control study, NHS nurses’ health study, RAMQ Re′gie de l’Assurance Maladie du Que’bec, VITAL the vitamins and lifestyle, WEB Western New York exposures and breast cancer study, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- ovarian cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = chronic obstructive pulmonary disease or asthma, 8 = Fat distribution, 9 = religion, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause, 38 = gravidity, 39 = history of arthritis, 40 = age at first birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of ulcer, 48 = income, 49 = tubal ligation, 50 = oral contraceptive use, 51 = menopausal status, 52 = endometriosis, 53 = pelvic inflammatory disease, 54 = study site, 55 = parity, 56 = infertility, 57 = diabetes mellitus, 58 = tubal sterilization, 59 = interview year, 60 = breastfeeding, 61 = duration of oral contraceptive use, 62 = talc use, 63 = months of pregnancy, 64 = severe menstrual cramping, 65 = presence of irregular menses, 66 = menstrual, headache, or arthritic pain, 67 = ibuprofen, 68 = paracetamol, 69 = partial oophorectomy AACES the African American Cancer Epidemiology Study, AARP AARP Diet and Health Study, BCDDP the Breast Cancer Detection Demonstration Project, HOPE hormones and Ovarian cancer prediction study, IWHS Iowa Women’s Health Study, MALOVA Danish MALignant Ovarian cancer study, MEC multiethnic cohort study, NHS nurses’ health study, NYU New York University, RPCI the Roswell Park Cancer Institute, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- endometrial cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = calendar year, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = mammogram in past 2 y, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause, 38 = gravidity, 39 = history of arthritis, 40 = age at first birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of ulcer, 48 = parity, 49 = obesity, 50 = diabetes, 51 = chronic obstructive pulmonary disease, 52 = oral contraceptive use, 53 = study center, 54 = period of interview, 55 = menopausal status, 56 = hypertension, 57 = years of oral contraceptive use, 58 = oophoerectomy, 59 = history of stroke, 60 = waist-hip ratio, 61 = intrauterine device use, 62 = height AARP AARP diet and health study, ANECS Australian National Endometrial Cancer Study, EDGE Study estrogen, diet, genetics, and endometrial cancer, IWHS Iowa Women’s Health Study, MEC multiethnic cohort study, NHS nurses’ health study, RPCI the Roswell Park Cancer Institute, VITAL the vitamins and lifestyle, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- cervix uterus 1 = age, 2 = sex, 3 = smoking, 4 = spermicide contraceptive use, 5 = circulatory system disease, 6 = education, 7 = age at first pregnancy, 8 = menopausal status, 9 = genital tract disease, 10 = year survey completed,11 = blood and blood-forming organs disease, 12 = oral, 13 = barrier, 14 = HRT use, 15 = hormone contraceptive use, 16 = systemic steroids, 17 = DMARD use, 18 = history of cancer, 19 = years of follow-up, 20 = sexually transmitted infections, 21 = use of antiviral drugs CPRD clinical practice research datalink, RPCI the Roswell Park Cancer Institute aStudy deemed to be prone to immortal time bias Characteristics of included studies- prostate cancer 1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = Alternate Healthy Eating Index-2010, 9 = PSA test in past 2 y, 10 = BMI, 11 = race, 12 = folate, 13 = Charlson comorbidity index, 14 = statin, 15 = metformin, 16 = ACE inhibitors, 17 = Angiotensin II receptor blockers, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = mammogram in past 2 y, 25 = hormone replacement therapy, 26 = unique number of dispensing, 27 = unique number of hospitalizations in the year prior to start of follow up, 28 = other NSAIDs, 29 = history of heart attack, 30 = diabetes, 31 = hypertension, 32 = simultaneous use of other medications (cholesterol lowering drugs, anti-diabetic drugs, antihypertensive drugs and benign prostatic hyperplasia medication), 33 = the primary care centres from which they were recruited, 34 = study center, 35 = any paracetamol use, 36 = residence (by design), 37 = use of high-dose aspirin, 38 = 5-alpha reductase inhibitors, 39 = income, 40 = selected cardiovascular drugs, and antidepressants or neuroleptics, 41 = ever visited a urologist 1–11 years prior, 42 = SCREENED and volume of family physician visits in the 5 years prior to the index date, 43 = finasteride, 44 = medical institution, 45 = calendar year, 46 = prior BPH history, 47 = number of visits to general practitioners, 48 = referrals, 49 = hospitalizations, 50 = recent medical contacts, 51 = socio-economic status, 52 = total polyunsaturated fat consumption, 53 = a-linolenic acid and ratio of dietary n-6:long-chain n-3 polyunsaturated fatty acids, 54 = presence of obesity, 55 = benign prostatic hypertrophy, 56 = alpha-adrenoreceptor antagonists, 57 = immunosuppressive drugs, 58 = natural log-transformed prostate specific antigen (PSA) concentration, 59 = PSA quotient, 60 = use of antidiabetic medication, 61 = C-reactive protein level, 62 = ibuprofen use, 63 = osteoarthritis, 64 = rheumatoid arthritis,65 = enlarged prostate, 66 = coronary artery disease, 67 = chronic joint pain, chronic headaches, and migraines, 68 = acetaminophen, 69 = and number of health checkups, 70 = red meat BLSA Baltimore Longitudinal study of Aging, CHRI Cancer Hospital and Richard J. Solove Research Institute, GPRD general practitioners research database, HPFS Health Professionals follow-up study, HSD health search IMS health longitudinal patient database, NHS nurses’ health study, PLCO prostate, lung, colorectal and ovarian cancer screening trial, ProtecT prostate testing for cancer and Treatment, RAMQ Re′gie de l’Assurance Maladie du Que’bec, RPCI the Roswell Park Cancer Institute, SEER surveillance, epidemiology and end results, VITAL the vitamins and lifestyle aStudy deemed to be prone to immortal time bias Characteristics of included studies- renal cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = diabetes, 8 = fat distribution, 9 = social status, 10 = BMI,11 = race, 12 = folate, 13 = height, 14 = Alternate Healthy Eating Index-2010, 15 = PSA test in past 2 y, 16 = mammogram in past 2 y, 17 = hormone replacement therapy, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = other NSAIDs, 26 = area (county/region), 27 = hypertension, 28 = migraine, 29 = ever use of calcium supplements in the past 5 years, 30 = red meat, 31 = Nitro-vasodilator use, 32 = height, 33 = unique number of hospitalizations in the year prior to start of follow up, 34 = observational study enrollment, 35 = diet modification trial enrollment, 36 = screening for cancer, 37 = age at menarche, 38 = age at menopause, 39 = gravidity, 40 = age atfirst birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of arthritis, 48 = history of ulcer, 49 = method of interview, 50 = obesity, 51 = center, 52 = dialysis treatment, 53 = marital status, 54 = total dietary fiber, 55 = study center, 56 = year of interview, 57 = regular use of amphetamines, 58 = method of interview, 59 = phenacetin, 60 = paracetamol, 61 = urological disease AARP AARP diet and health study, HPFS Health Professionals follow-up study, NHS nurses’ health study, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- renal pelvis and ureter 1 = age, 2 = sex, 3 = smoking, 4 = hospital, 5 = educational level, 6 = race, 7 = geographic site, 8 = method of interview Characteristics of included studies- bladder cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = history of colorectal endoscopy, 8 = Fat distribution, 9 = social status, 10 = BMI,11 = race, 12 = folate, 13 = height, 14 = Alternate Healthy Eating Index-2010, 15 = PSA test in past 2 y, 16 = mammogram in past 2 y, 17 = hormone replacement therapy, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = diabetes, 23 = former health checkup, 24 = red meat, 25 = other NSAIDs, 26 = area (county/region), 27 = study, 28 = migraine, 29 = ever use of calcium supplements in the past 5 years, 30 = red meat, 31 = Nitro-vasodilator use, 32 = height, 33 = unique number of hospitalizations in the year prior to start of follow up, 34 = observational study enrollment, 35 = diet modification trial enrollment, 36 = screening for cancer, 37 = age at menarche, 38 = age at menopause, 39 = gravidity, 40 = age atfirst birth, 41 = duration of estrogen therapy, 42 = duration of combined postmenopausal hormone therapy, 43 = hysterectomy status, 44 = use of antihypertensive medication, 45 = history of coronary heart disease, 46 = use of cholesterol-lowering medication, 47 = history of arthritis, 48 = history of ulcer, 49 = indications for NSAID use, 50 = fluid intake, 51 = hispanic status, 52 = Metamizol, 53 = Acetic acids, 54 = number of years employed as hairdresser/barber, 55 = use of phenacetin, 56 = acetaminophen, 57 = Other salicylic acids, 58 = Propionic acids, 59 = Oxicam,60 = Pyrazolon derivatives, 61 = Dextropropoxyphene, 62 = Phenazon, 63 = Other analgesics (codeine, chlormezanone, caffeine), 63 = hypertension AARP AARP diet and health study, HPFS Health Professionals follow-up study, PLCO prostate, lung, colorectal and ovarian cancer screening trial, SEER surveillance, epidemiology and end results, USRT United State Radiologic Technologist Study, VITAL the vitamins and lifestyle, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- brain tumor 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = race, 8 = state of residence, 9 = center, 10 = anti-asthma medications, 11 = individual NSAIDs, 12 = acetaminophen, 13 = statins, 14 = diabetes, 15 = stroke, 16 = allergy, 17 = asthma, 18 = antihistamines, 19 = history of heart disease using age as time metric AARP AARP diet and health study, CPRD clinical practice research datalink, CUMC Columbia University Medical Center, UCSF University of California San Francisco aStudy deemed to be prone to immortal time bias Characteristics of included studies- head and neck cancers 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = race, 8 = other NSAIDs, 9 = social status, 10 = BMI, 11 = area of residence, 12 = period of interview, 13 = occupation, 14 = deprivation, 15 = CHD, 16 = stroke, 17 = COX-2 inhibitors, 18 = fruit consumption, 19 = marital status ARCAGE the alcohol-related cancers and genetic susceptibility, CPRD clinical practice research datalink, GUMC Georgetown University Medical School, PCCIU primary care clinical informatics unit database, PLCO prostate, lung, colorectal and ovarian cancer screening trial, RPCI the Roswell Park Cancer Institute aStudy deemed to be prone to immortal time bias Characteristics of included studies- thyroid cancer 1 = age, 2 = sex, 3 = smoking, 4 = education level, 5 = family history, 6 = alcohol intake, 7 = height, 8 = weight, 9 = history of ulcer, 10 = BMI, 11 = race, 12 = duration of estrogen therapy, 13 = duration of combined postmenopausal hormone therapy, 14 = hysterectomy status, 15 = use of antihypertensive medication, 16 = history of coronary heart disease, 17 = use of cholesterol-lowering medication, 18 = physical activity, 19 = fruit, vegetable and/or vitamin intake, 20 = history of colonoscopy, 21 = total energy intake, 22 = ever use of calcium supplements in the past 5 years, 23 = former health checkup, 24 = red meat, 25 = hormone replacement therapy, 26 = gravidity, 27 = history of arthritis, 28 = age at first birth, 29 = other NSAIDs, 30 = area (county/region), 31 = migraine, 32 = Nitro-vasodilator use, 33 = observational study enrollment, 34 = diet modification trial enrollment, 35 = screening for cancer, 36 = age at menarche, 37 = age at menopause AARP AARP diet and health study, PLCO prostate, lung, colorectal and ovarian cancer screening trial, WHI women’s health initiative Characteristics of included studies- skin cancer 1 = age, 2 = sex, 3 = smoking, 4 = family history, 5 = educational level, 6 = alcohol intake, 7 = skin reaction to the sun, 8 = Fat distribution, 9 = social status, 10 = BMI, 11 = unique number of dispensing, 12 = unique number of hospitalizations in the year prior to start of follow up, 13 = race, 14 = physical activity, 15 = fruit, vegetable and/or vitamin intake, 16 = ever use of calcium supplements in the past 5 years, 17 = red meat, 18 = hormone replacement therapy, 19 = other NSAIDs, 20 = area (county/region), 21 = migraine, 22 = Nitro-vasodilator use, 23 = observational study enrollment, 24 = diet modification trial enrollment, 25 = screening for cancer, 26 = age at menarche, 27 = age at menopause, 28 = gravidity, 29 = history of arthritis, 30 = history of ulcer, 31 = age at first birth, 32 = duration of estrogen therapy, 33 = duration of combined postmenopausal hormone therapy, 34 = hysterectomy status, 35 = use of antihypertensive medication, 36 = history of coronary heart disease, 37 = use of cholesterol-lowering medication, 38 = mammography, 39 = history of colorectal endoscopy, 40 = history of PSA testing, 41 = diabetes, 42 = hypertension,43 = the number of general practitioner visits in the year before the index date, 44 = use of systemic glucocorticoids, cytostatic or immunosuppressive medication, 45 = drugs with pigmenting adverse effects, 46 = Charlson comorbidity index, 47 = photosensitising or phototoxic drugs,48 = inflammatory bowel disease, 49 = ischemic stroke/ transient ischemic attack, 50 = ischemic heart disease, 51 = psoriasis, 52 = systemic glucocorticoids and other immunosuppressants, 53 = skin type, 54 = lifelong number of painful sunburns, 55 = lifelong cumulative number of hours of sun exposure, 56 = number of sunburns of children, 57 = number of moles, 58 = eye color, 59 = natural hair color, 60 = exposure to industrial chemicals, 61 = history of freckling, 62 = outdoor sun exposure, 63 = occupational sun exposure, 64 = tanning bed use, 65 = history of high-risk exposures such as UV light, 66 = burn scar, 67 = radiation treatment, 68 = arsenic exposure, 69 = personal history of nonmelanoma skin cancer, 70 = personal history of melanoma, 71 = current and childhood summer sun exposure, 72 = sunscreen use, 73 = history of cardiovascular disease, 74 = regional solar radiation (Langleys), 75 = menopausal status and use of postmenopausal hormones, 76 = questionnaire cycle, 77 = ability to tan, 78 = UV-B availability at state of residence, 79 = height, 80 = solar UV exposure quartile calculated from summer erythemal UV values weighted by time outdoors, 81 = ever had moles removed, 82 = chronic pain in last year, 83 = kidney disease or ulcer GEM the genes, environment, and melanoma study, GPRD general practitioners research database, KPNC Kaiser Permanente Northern California population, NHS nurses’ health study, VITAL the vitamins and lifestyle, WHI women’s health initiative aStudy deemed to be prone to immortal time bias Characteristics of included studies- lymphoma 1=age, 2=sex, 3=smoking, 4=family history, 5=educational level, 6=alcohol intake, 7=year of interview, 8=study center, 9=use of other analgesics, 10=BMI, 11=unique number of dispensing, 12=unique number of hospitalizations in the year prior to start of follow up, 13=Charlson comorbidity index, 14= history of connective tissue disorder, 15=auranofin, chlorambucil, cyclophosphamide, cyclosporine, D-penicillamine, and podophyllotoxin, 16=disease activity, 17=residence, 18=menopausal status, 19=race, 20=sitting time, 21=diabetes status, 22=rheumatoid arthritis status, 23=cholesterol-lowering drug use, 24=acetaminophen use, 25=postmenopausal hormone use, 26=self-reported health, 27=history of coronary artery disease, 28=stroke, 29=marital status, 30=transfusion history,31= red meat and fruit intake,32= replacement therapy, 33=history of fatigue/lack of energy HPFS Health Professionals follow-up study, IWHS Iowa Women’s Health Study, MEC multiethnic cohort study, NHS nurses’ health study, RPCI the Roswell Park Cancer Institute, VITAL the vitamins and lifestyle aStudy deemed to be prone to immortal time bias Characteristics of included studies- leukemia 1=age, 2=sex, 3=smoking, 4=family history, 5=educational level, 6=residence, 7=other analgesic use, 8=fat distribution, 9=social status, 10=BMI, 11=race, 12=physical activity level, 13=use of hormone replacement therapy, 14=history of mammography, 15=history of colorectal endoscopy, 16=use of non-aspirin NSAIDs, 17= history of heart attack, 18=diabetes, 19=hypertension IWHS Iowa Women’s Health Study, MCSS the Minnesota Cancer Surveillance System, RPCI the Roswell Park Cancer Institute aStudy deemed to be prone to immortal time bias Characteristics of included studies- small intestine neuroendocrine tumors 1= age, 2=sex

Aspirin use and the risk of cancers

Figures 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 and 18 and Additional file 1: Table S1 shows the RRs for the 21 separate cancer sites that we assessed and that of the total cancers. The use of aspirin was associated with a reduced cancer risk for ten specific sites: gastric cancer (RR =0.75, 95%CI:0.65–0.86), esophagus cancer (RR = 0.75, 95%CI:0.62–0.89), colorectal cancer(RR = 0.79, 95%CI:0.74–0.85), pancreatic cancer (RR = 0.80, 95%CI:0.68–0.93), breast cancer (RR = 0.92, 95%CI:0.88–0.96), ovarian cancer (RR = 0.89, 95%CI:0.83–0.95), endometrial cancer (RR = 0.92, 95%CI:0.85–0.99), prostate cancer (RR = 0.94, 95%CI:0.90–0.99), and small intestine neuroendocrine tumors (RR = 0.17, 95%CI:0.05–0.58). However, there was no significant association between aspirin use and the risk of some cancers, including hepato-biliary, lung, cervical uterus, renal, renal pelvis and ureter, bladder, brain, head and neck, thyroid, and skin cancers, as well as lymphoma and leukemia.
Fig. 2

Forest plot of aspirin use and the risk of gastric cancer

Fig. 3

Forest plot of aspirin use and the risk of esophagus cancer

Fig. 4

Forest plot of aspirin use and the risk of colorectal cancer

Fig. 5

Forest plot of aspirin use and the risk of hepato-biliary cancer

Fig. 6

Forest plot of aspirin use and the risk of pancreatic cancer

Fig. 7

Forest plot of aspirin use and the risk of lung cancer

Fig. 8

Forest plot of aspirin use and the risk of breast cancer

Fig. 9

Forest plot of aspirin use and the risk of ovarian cancer

Fig. 10

Forest plot of aspirin use and the risk of endometrial cancer

Fig. 11

Forest plot of aspirin use and the risk of prostate cancer

Fig. 12

Forest plot of aspirin use and the risk of renal cancer

Fig. 13

Forest plot of aspirin use and the risk of bladder cancer

Fig. 14

Forest plot of aspirin use and the risk of brain tumors

Fig. 15

Forest plot of aspirin use and the risk of head and neck cancers

Fig. 16

Forest plot of aspirin use and the risk of skin cancer

Fig. 17

Forest plot of aspirin use and the risk of lymphoma

Fig. 18

Forest plot of aspirin use and the risk of leukemia

Forest plot of aspirin use and the risk of gastric cancer Forest plot of aspirin use and the risk of esophagus cancer Forest plot of aspirin use and the risk of colorectal cancer Forest plot of aspirin use and the risk of hepato-biliary cancer Forest plot of aspirin use and the risk of pancreatic cancer Forest plot of aspirin use and the risk of lung cancer Forest plot of aspirin use and the risk of breast cancer Forest plot of aspirin use and the risk of ovarian cancer Forest plot of aspirin use and the risk of endometrial cancer Forest plot of aspirin use and the risk of prostate cancer Forest plot of aspirin use and the risk of renal cancer Forest plot of aspirin use and the risk of bladder cancer Forest plot of aspirin use and the risk of brain tumors Forest plot of aspirin use and the risk of head and neck cancers Forest plot of aspirin use and the risk of skin cancer Forest plot of aspirin use and the risk of lymphoma Forest plot of aspirin use and the risk of leukemia Additional file 1: Tables S1–S18 shows the RRs for cancers at 17 sites, in subgroups of studies defined by their design, study location, gender, exposure assessment, quality assessment, duration of aspirin use, and frequency of aspirin use. We conducted a subgroup analysis stratified by questionnaires and medical records, and found a lower risk in medical records with most cancers (gastric, esophageal, colorectal, hepato-biliary, and pancreatic cancers), however, significant heterogeneity of effects was noted for those subgroups (Additional file 1: Tables S2–S18). As we expected, the decreased risk of colorectal cancer (RRs = 0.76, 95%CI: 0.66–0.87 for ≥5 years), pancreatic cancer (RRs = 0.75, 95%CI: 0.57–0.99 for ≥5 years), ovarian cancer (RRs = 0.77, 95%CI: 0.63–0.93 for ≥5 years), and brain cancer (RRs = 0.65, 95%CI: 0.43–0.97 for ≥5 years) were more pronounced with longer duration of aspirin use. However, the aspirin-associated RR for 21 specific cancers did not vary significantly by other characteristics (gender, quality assessment and frequency of aspirin use).

Publication bias

The funnel plot showed asymmetry (Fig. 19). In addition, the Begg’s test and Egger’s test provided evidence of publication bias among the included studies (Begg’s test Z = 4.34, P < 0.001; Egger’s test Z = − 5.27, P < 0.001).
Fig. 19

Funnel plot of aspirin use and cancer

Funnel plot of aspirin use and cancer

Discussion

The results of our meta-analysis supported the presence of inverse associations between aspirin use and the risk of overall cancer, gastric, esophageal, colorectal, pancreatic, breast, ovarian, endometrial, and prostate cancers, as well as small intestine neuroendocrine tumors. However, no significant associations were observed between the use of aspirin and the risk of other cancers, including hepato-biliary, lung, cervical uterus, renal, renal pelvis and ureter, bladder, brain, head and neck, thyroid, and skin cancers, as well as lymphoma, and leukemia. There are several potential biological mechanisms through which aspirin could reduce the risk of cancer. First, aspirin and other NSAIDs have been proven to inhibit the activity of the enzyme cyclooxygenase 2 (COX-2), which is responsible for the synthesis of prostaglandins [29]. COX-2 has been reported to be overexpressed in many cancers and participates in key cellular activities, including cell proliferation, apoptosis, angiogenesis, and metastasis [30-32]. Second, aspirin could activate the NF-kappa B (NF-κB) signaling pathway, which triggers apoptosis in neoplasia [33, 34]. In addition, some studies showed that aspirin might induce gene selection and modulate mitochondrial voltage dependent anion channels (VDACs) to reduce the risk of cancer progression and metastasis [35, 36]. The results of this meta-analysis indicated that utilization of aspirin had different protective effects on the development of cancer. This difference may be attributed to the different expression levels of COX in various cancers [37]. Furthermore, Zumwalt et al. [38] reported that the effectiveness of aspirin was primarily determined by specific genetic variants. Aspirin inhibited cell growth in all cancer cell lines regardless of mutational background, however, the effects were exacerbated in cells with PIK3CA mutations, which might explain the different effects of aspirin on cancers. The decreased risk of gastric, esophageal, pancreatic, lung, breast, and ovarian cancers was observed in the case-control studies but not in the cohort studies. One possible explanation for the difference might be that cases in the case-control studies might have a recall bias and tended to overestimate the risk of cancer by aspirin use. Another possible explanation is that misclassification or measurement errors for aspirin use in the cohort studies might have distorted the association because most of our analyses were based on baseline data, and there might be a discrepancy between initial recruitment and subsequent aspirin consumption. The longer those who had used aspirin, the lower their risk of cancer was, with longer duration of use associated with an RR of 0.90 (95% CI 0.89–0.74), based on 118 studies that reported associations with longer (≥5 years) duration of aspirin use and 105 studies that reported associations with shorter (< 5 years) duration of aspirin use. For most cancers (colorectal, pancreatic, ovarian, and brain cancers), risk reductions were more pronounced with longer duration of use, and these results agree with those of previous studies [39-41]. In addition, the United States Preventive Services Task Force (USPSTF) indicated that cancer prevention was a significant aspect in the overall health benefit of aspirin, but this benefit was not apparent until several years after the initiation of aspirin therapy [42, 43]. It is of note that a significant inverse association with prostate cancer was observed in the patients who took aspirin for less than 5 years. Indeed, after the study that relied on the General Practice Research Database [44] was excluded, the discrepancy disappeared. Considering that aspirin use was off-prescription in the United Kingdom, misclassification was likely to occur in this study because many commonly used aspirins do not require a prescription. Therefore, it can be deduced that the patients who used aspirin for at least 5 years were more likely to realize the potential cancer prevention benefit. There was no statistically significant difference between the pooled RRs for the frequency of aspirin in most studies. Given that a few studies were included in the subgroup analysis on the basis of the frequency of aspirin use and most studies lacked information on this variable, the results on the risks associated with the frequency of aspirin use should be interpreted with caution. Further studies that explore the associations between the frequency of aspirin use and cancer risk are necessary to elucidate the effects of aspirin. In addition, our results indicated that the strongest reduction in the risk of most cancers associated with aspirin was found in North American countries. However, two-thirds of the included studies were performed in North America and a few studies were performed in Asian and European countries, which might distort the accuracy of the results. Therefore, more studies are necessary to examine the discrepancies among the different countries and regions.

Comparison with other studies

Bosetti et al. (2011) [45] conducted a meta-analysis on aspirin and 12 selected cancer sites based on 139 observational studies and 187,167 cases. Our study included 218 studies involving 737,409 cases and examined the correlation between aspirin use and the risk of skin, head and neck, hepatobiliary, thyroid, cervical uterus, renal pelvis, ureter, and brain cancers, lymphoma, small intestine neuroendocrine tumors, and leukemia, thereby providing more comprehensive and reliable evidence for this correlation. More importantly, this study was the first meta-analysis to evaluate the association between aspirin use and the risk of hepatobiliary cancer and we found a non-significant effect of aspirin on the risk of hepatobiliary cancer (OR = 0.64, 95% CI: 0.40–1.02). Algra and Rothwell (2012) [46] conducted a meta-analysis on the association between aspirin use and the risk of cancer based on 195 studies and 215,211 cases. Compared with their review, our meta-analysis have added approximately 70 new articles published since 2012, with a total of 737,409 cases, which significantly enhanced the statistical power to determine this potential association. In addition, the exposure in the previous review was inconsistent, which may mislead the estimation. Many studies defined aspirin as the exposure but only a few studies defined NSAIDs as the exposure, and thus the specific effect of aspirin on cancers was not defined. The exposure to aspirin in our meta-analysis was consistent and ensured the reliability of the findings.

Strengths and limitations

This study is the most up-to-date comprehensive review of the effect of aspirin use on the risk of all types of cancers, and the large sample size provides reliable results with greater precision and power. The potential limitations of this study should be noted. First, there was substantial heterogeneity across the included studies, which was likely due to differences in the definitions of exposure, units, assessment methods, and the adjusted variables across different studies. Second, misclassification or measurement errors for aspirin use might distort the association because our analyses were based on baseline data, and changes in the exposure to aspirin were not updated during the follow-up period. Third, the visual inspection of a funnel plot showed asymmetry, and the Begg’s test and Egger’s test also identified evidence of publication bias among the studies included in our meta-analysis. Our meta-analysis indicated a beneficial role for aspirin for overall cancers; however, the results should be interpreted with caution. Considering that most evaluated studies were based on secondary prevention rather than on primary prevention, the totality of evidence for the high-risk population was incomplete, and it is appropriate to let the beneficial role remain uncertain. At present, we should accept the uncertainties, and future chemoprevention trials should clarify the extent to which aspirin decreases cancers incidence.

Conclusions and implications

Evidence from observational studies indicates that utilization of aspirin is associated with reduced risk of gastric, colorectal, esophageal, pancreatic, ovarian, endometrial, breast, and prostate cancers, in addition to small intestine neuroendocrine tumors. A stronger protective effect was observed in the North American populations and patients who used aspirin for at least 5 years. It is important to address immortal time bias not only to ensure the integrity of the meta-analysis, but also to ensure the integrity of pharmacoepidemiological studies. Moreover, given the confidence limits of the evaluated studies, adequately powered mechanistic studies should help elucidate the mechanisms underlying this correlation. Table S1. Summary table. Table S2. Subgroup analysis of relative risk of gastric cancer. Table S3. Subgroup analysis of relative risk of esophagus cancer. Table S4. Subgroup analysis of relative risk of colorectal cancer. Table S5. Subgroup analysis of relative risk of hepato-biliary cancer. Table S6. Subgroup analysis of relative risk of pancreatic cancer. Table S7. Subgroup analysis of relative risk of lung cancer. Table S8. Subgroup analysis of relative risk of breast cancer. Table S9. Subgroup analysis of relative risk of ovarian cancer. Table S10. Subgroup analysis of relative risk of endometrial cancer. Table S11. Subgroup analysis of relative risk of prostate cancer. Table S12. Subgroup analysis of relative risk of renal cancer. Table S13. Subgroup analysis of relative risk of bladder cancer. Table S14. Subgroup analysis of relative risk of brain tumor. Table S15. Subgroup analysis of relative risk of head and neck cancers. Table S16. Subgroup analysis of relative risk of skin cancer. Table S17. Subgroup analysis of relative risk of lymphoma. Table S18. Subgroup analysis of relative risk of leukemia. (DOC 549 kb)
  257 in total

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