| Literature DB >> 25180765 |
X-F Ye1, J Wang1, W-T Shi1, J He1.
Abstract
BACKGROUND: Epidemiological evidence suggests that use of aspirin after the diagnosis of colorectal cancer can lengthen survival. However, the supporting data vary between studies, and this hypothesis remains controversial. We conducted a meta-analysis to provide a quantitative assessment of the association between use of aspirin after diagnosis of colorectal cancer and patient survival.Entities:
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Year: 2014 PMID: 25180765 PMCID: PMC4260025 DOI: 10.1038/bjc.2014.481
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Figure 1Flow diagram of the search and selection process of the studies.
Characteristic of the included studies
| Northern Ireland | National
Cancer Data Repository | NR | Nested case–control study | 9089 | 2387 | 6711 | NR | Including surgery, chemotherapy, radiotherapy, statin use, metformin use, and comorbidities, including myocardial infarction, cerebrovascular disease, congestive heart disease, chronic pulmonary disease, peripheral vascular disease, peptic ulcer disease, renal disease and rheumatological disease, and diabetes | 7 | |
| US | Nurses'
Health Study and the Health Professionals Follow-up Study | 14.75 | Cohort study | 964 | 561 | 403 | 68 | Disease stage, initially included age, sex, year of diagnosis, aspirin use after diagnosis, tumour location, tumour differentiation, body mass index, microsatellite instability status, sex | 8 | |
| Netherlands | PHARMO | NR | Cohort study | 999 | 180 | 794 | NR | Sex, age, comorbidity, year of incidence, histological grade, stage, and chemotherapy | 7 | |
| UK | The Health Informatics Centre | 4.22 | Cohort study | 2990 | 1340 | 1650 | 73 | Age, sex, social class, stage of disease diagnosis | 8 | |
| Netherlands | PHARMO | 3.5 | Cohort study | 4481 | 3305 | 1176 | 69 | Sex, age, comorbidity, year of incidence, grade, stage and treatment | 6 | |
| UK | General Practice Research
Database | NR | Cohort study | 13 994 | 2619 | 1365 | NR | Age, gender, smoking, BMI, alcohol use and comorbidity | 8 | |
| US | Mailed questionnaire | 11.8 | Cohort study | 1279 | 549 | 730 | 60.7 | Age, sex, date of diagnosis, stage of cancer, site of primary cancer, histological grade of cancer, aspirin use, smoking, BMI, cancer in a parent or sibling | 6 |
Abbreviations: BMI=body mass index; NR=not reported.
Figure 2Forest plot of aspirin use after diagnosis of colorectal cancer and patient survival.
Figure 3Forest plot of aspirin use after diagnosis of colorectal cancer (prediagnosis aspirin non-users) and patient survival.
Figure 4Forest plot of aspirin use after diagnosis of colorectal cancer (prediagnosis aspirin users) and patient survival.
Figure 5Forest plot of the risk of aspirin use and overall mortality after diagnosis of colorectal cancer according to tumour PIK3CA mutation status.
Sensitivity analysis
| All-cause mortality | 0.74 | 0.62 | 0.89 | |
| 0.79 | 0.66 | 0.94 | ||
| 0.77 | 0.63 | 0.95 | ||
| 0.69 | 0.61 | 0.79 | ||
| 0.74 | 0.61 | 0.91 | ||
| 0.73 | 0.57 | 0.93 | ||
| Colorectal cancer-specific mortality | 0.75 | 0.51 | 1.10 | |
| 0.63 | 0.52 | 0.76 | ||
| 0.86 | 0.59 | 1.24 | ||
| 0.77 | 0.52 | 1.14 | ||
| | 0.75 | 0.43 | 1.31 | |
| All-cause mortality | 0.88 | 0.83 | 0.93 | |
| 0.88 | 0.83 | 0.93 | ||
| 0.88 | 0.83 | 0.93 | ||
| 0.87 | 0.83 | 0.92 | ||
| 0.87 | 0.78 | 0.97 | ||
| Colorectal cancer-specific mortality | 0.80 | 0.59 | 1.09 | |
| 0.86 | 0.57 | 1.28 | ||
| 0.82 | 0.59 | 1.12 | ||
| | 0.70 | 0.43 | 1.11 | |
| All-cause mortality | 0.84 | 0.70 | 1.00 | |
| 0.77 | 0.66 | 0.89 | ||
| 0.82 | 0.66 | 1.03 | ||
| 0.89 | 0.75 | 1.05 | ||
| 0.86 | 0.68 | 1.09 | ||
| Colorectal cancer-specific mortality | 0.79 | 0.61 | 1.02 | |
| 0.58 | 0.38 | 0.88 | ||
| 0.79 | 0.60 | 1.03 | ||
| 0.92 | 0.68 | 1.24 | ||
Abbreviations: HR=hazard ratio; LL=lower limit; UL=upper limit.