| Literature DB >> 35132829 |
Joseph A Rothwell1, Nagisa Mori2, Fanny Artaud1, Agnès Fournier1, Marco Conte1, Marie-Christine Boutron-Ruault1, Simon S M Chan3,4, Marc J Gunter2, Neil Murphy2, Gianluca Severi1,5.
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Year: 2022 PMID: 35132829 PMCID: PMC9118062 DOI: 10.1002/cac2.12265
Source DB: PubMed Journal: Cancer Commun (Lond) ISSN: 2523-3548
FIGURE 1Random‐effects meta‐analyses for associations between prior appendectomy and colorectal cancer risk by tumor subsite and sex. EPIC, European Prospective Investigation into Cancer and Nutrition. The I statistic for heterogeneity across cohorts and the corresponding P values are given. Estimates shown are pooled HR and 95% CI derived from Cox proportional hazard models performed in each individual cohort by random‐effects meta‐analyses. HR > 1 represents an increased risk of cancer for participants with appendectomy. Harmonized multivariable models were adjusted for body mass index (kg/m2, continuous), physical activity (metabolic equivalent of task [MET] hours/week, categorical), height (cm, continuous), smoking status (current/former/never/unknown), and highest educational level (none or primary school/secondary school/technical or professional qualification/further education). In the UK Biobank dataset, history of cancer in first‐degree relatives was additionally included in models and, in the E3N dataset, the colorectal cancer screening period (before/after 2002). In the E3N dataset, BMI, physical activity, smoking status, and history of colorectal cancer in first‐degree relatives were modeled as time‐varying. In the UK Biobank dataset, models were stratified by age at recruitment, Townsend deprivation index quintiles, and assessment center region. In the EPIC dataset, models were stratified by age at recruitment and center, and stratification variables were not used for the E3N models.