“…of participantsOutcome of Interest | No. of CRC cases/deaths | Adjusted factors | Tambe/2015 11
| Cohort | USA | 45–75 | M/F | 199112 | Risk/Mortality | Cases:4834 Deaths:1363 | Age, gender, smoking, educational level, BMI, NSAIDS use |
Taghizadeh/2015 12
| Cohort | Netherlands | 20–65 | M/F | 8465 | Mortality | Deaths:134 | Age, gender, FEV1 as % of predicted, BMI, place of residence |
Skaaby/2014 13
| Cohort | Denmark | 30–60 | M/F | 14894 | Risk | Cases:211 | Age, gender, education, physical activity, BMI, smoking, alcohol intake |
Jacobs/2013 14
| 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 18
| Cohort | USA | >=40 | F | 4600 | Risk | Cases:37 | Age, race, education, income, obesity, smoking, alcohol drinking, physical inactivity |
Prizment/2011 19
| Cohort | USA | 45–64 | M/F | 10675 | Risk | Cases:242 | Age, gender, race, education, BMI, smoking, alcohol, diabetes, WBC count, and fibrinogen |
Prizment/2007 20
| Cohort | USA | 55–69 | F | 22940 | Risk | Cases:410 | Age, smoking, total energy intake, calcium, red meat, multivitamin use, BMI, diabetes |
Wang/2006 21
| Nested case-control | Germany | 50–74 | M/F | 4748 | Risk | Cases:477 | Age, education, BMI, family history of cancer, smoking, alcohol |
Gonzalez-Perez/2006 22
| 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 8
| Cohort | Sweden | Median:32 | M/F | 13811 | Risk | Cases:25 | Age, sex |
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