| Literature DB >> 28717199 |
Wangqian Ma1, Jia Yang2, Peiwei Li1, Xinliang Lu3, Jianting Cai4.
Abstract
We aimed to assess the association between allergic conditions and risk/mortality of colorectal cancer (CRC). A systematic literature search was conducted using Pubmed and Embase to identify relevant studies. Prospective studies assessing the association between allergic conditions and risk/mortality of CRC were included. Risk ratios (RRs) were pooled with either a fixed- or a random-effects model according to heterogeneity. A total of 515379 participants and 10345 CRC cases from 12 studies were included in the analysis of CRC risk, while four studies with 1484741 individuals and 30040 CRC deaths were included in the analysis of CRC mortality. The pooled RR for the association between allergic conditions and CRC risk was 0.88 (95% CI 0.83-0.92). The inverse association was observed both in colon cancer (pooled RR = 0.83, 95% CI 0.72-0.97) and rectal cancer (pooled RR = 0.83, 95% CI 0.74-0.93). Moreover, no gender difference was observed in the analysis of CRC risk (for males, pooled RR = 0.88, 95% CI 0.81-0.96; for females, pooled RR = 0.88, 95% CI 0.82-0.95). And allergic conditions were also found to be inversely associated with CRC mortality (pooled RR = 0.88, 95% CI 0.83-0.92). In conclusion, the current meta-analysis provides further evidence that allergic conditions were inversely associated with CRC risk and mortality.Entities:
Mesh:
Year: 2017 PMID: 28717199 PMCID: PMC5514030 DOI: 10.1038/s41598-017-04772-9
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flow diagram of studies through the retrieval and inclusion process in the meta-analysis. Two studies assessed both risk and mortality of CRC.
Characteristics of the studies included in the meta-analysis.
| Study | Design | Location | Age | Gender | No. of participants | Outcome of Interest | No. of CRC cases/deaths | Adjusted factors |
|---|---|---|---|---|---|---|---|---|
| Tambe/2015[ | Cohort | USA | 45–75 | M/F | 199112 | Risk/Mortality | Cases:4834 Deaths:1363 | Age, gender, smoking, educational level, BMI, NSAIDS use |
| Taghizadeh/2015[ | Cohort | Netherlands | 20–65 | M/F | 8465 | Mortality | Deaths:134 | Age, gender, FEV1 as % of predicted, BMI, place of residence |
| Skaaby/2014[ | Cohort | Denmark | 30–60 | M/F | 14894 | Risk | Cases:211 | Age, gender, education, physical activity, BMI, smoking, alcohol intake |
| Jacobs/2013[ | Cohort | USA | Nr | M/F | Risk:174917 Mortality:2125283 | Risk/Mortality | Cases:3365 Deaths:19202 | Age, gender, race, education, BMI, physical activity, aspirin use, smoking |
| Chae/2012[ | Cohort | USA | >=40 | F | 4600 | Risk | Cases:37 | Age, race, education, income, obesity, smoking, alcohol drinking, physical inactivity |
| Prizment/2011[ | Cohort | USA | 45–64 | M/F | 10675 | Risk | Cases:242 | Age, gender, race, education, BMI, smoking, alcohol, diabetes, WBC count, and fibrinogen |
| Prizment/2007[ | Cohort | USA | 55–69 | F | 22940 | Risk | Cases:410 | Age, smoking, total energy intake, calcium, red meat, multivitamin use, BMI, diabetes |
| Wang/2006[ | Nested case-control | Germany | 50–74 | M/F | 4748 | Risk | Cases:477 | Age, education, BMI, family history of cancer, smoking, alcohol |
| Gonzalez-Perez/2006[ | Nested case-control | UK | 20–79 | M/F | 25263 | Risk | Cases:436 | Age, gender, calendar year, BMI, alcohol, smoking, prior comorbidities, health services utilization, use of aspirin, NSAID, and paracetamol |
| Eriksson/2005[ | Cohort | Sweden | Median:32 | M/F | 13811 | Risk | Cases:25 | Age, sex |
| Turner/2005[ | Cohort | USA | >30 | M/F | 1102247 | Mortality | Deaths:9341 | Age, gender, race, smoking, education, BMI, exercise, alcohol, aspirin use, intakes of vegetables, red meat, and fiber, multivitamin use, family history |
| Talbot-Smith/2003[ | Cohort | Australia | Nr | M/F | 3308 | Risk | Cases:67 | Age, gender, smoking, BMI |
| Mills/1992[ | Cohort | USA | Nr | M/F | 34198 | Risk | Cases:196 | Age, gender, smoking, time since last physician contact |
| McWhorter/1988[ | Cohort | USA | 25–74 | M/F | 6913 | Risk | Cases:45 | Age, gender, race, smoking |
Nr: not reported; BMI: body mass index; NSAIDS: non-steroidal anti-inflammatory drugs.
Figure 2Meta-analysis of the association between allergic conditions and risk of CRC. A fixed-effect model was used in the analysis and a significant inverse association between allergic conditions and risk of CRC was observed.
Subgroup analysis of the association between allergic conditions and colorectal cancer risk.
| Factor | No. of Studies | Pooled RR (95% CI) | Heterogeneity | |
|---|---|---|---|---|
| I2 (%) |
| |||
| Cancer type | ||||
| Colon cancer | 6 | 0.83 (0.72–0.97) | 51.0 | 0.069 |
| Rectal cancer | 6 | 0.83 (0.74–0.93) | 0 | 0.538 |
| Gender | ||||
| Male | 3 | 0.88 (0.81–0.96) | 0 | 0.616 |
| Female | 5 | 0.88 (0.82–0.95) | 31.3 | 0.213 |
| Geographic Region | ||||
| USA | 7 | 0.88 (0.75–1.02) | 58.9 | 0.024 |
| Other Countries | 5 | 0.89 (0.78–1.01) | 0 | 0.949 |
| Allergic condition | ||||
| Skin allergy | 3 | 0.76 (0.56–1.02) | 0 | 0.682 |
| Hay fever | 5 | 0.94 (0.85–1.04) | 0 | 0.947 |
| Asthma | 5 | 0.92 (0.77–1.11) | 0 | 0.435 |
Figure 3Meta-analysis of the association between allergic conditions and mortality of CRC. A fixed-effect model was used in the analysis and a significant inverse association between allergic conditions and mortality of CRC was observed.