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. Author manuscript; available in PMC: 2013 Sep 5.
Published in final edited form as: Ann Intern Med. 2013 Mar 5;158(5 0 1):312–320. doi: 10.7326/0003-4819-158-5-201303050-00003

Table 3.

Association between use of ‘definite’ screening colonoscopy or sigmoidoscopy and late-stage colorectal cancers, 2006–2008: Unmatched Analysis

Receipt of screening colonoscopy or sigmoidoscopy according to colon location Sample size (n) and % by cases and controls Odds ratios and 95% confidence intervals

Cases Controls* Model I Model II
All late-stage colorectal cancers
 Screening colonoscopy 7 (1.9) 16(4.8) 0.36 (0.14–0.91) 0.36 (0.14–0.95)
 Screening sigmoidoscopy 62 (17.0) 96 (28.6) 0.47 (0.33–0.68) 0.51 (0.35–0.75)
 No screening 296 (81.1) 224 (66.7)
Right colon late-stage cancers
 Screening colonoscopy 6 (3.3) 16 (4.8) 0.75 (0.28–2.04) 0.72 (0.25–2.05)
 Screening sigmoidoscopy 48 (26.4) 96 (28.6) 0.89 (0.58–1.35) 0.94 (0.60–1.45)
 No screening 128 (70.3) 224 (66.7)
Left colon/rectum late-stage cancers
 Screening colonoscopy 1 (0.6) 16 (4.8) 0.08 (0.01–0.65) 0.09 (0.01–0.72)
 Screening sigmoidoscopy 13 (7.7) 96 (28.6) 0.18 (0.10–0.33) 0.20 (0.11–0.38)
 No screening 155 (91.7) 224 (66.7)

Note: Screening was defined as exposure to a ‘definitely’ screening test only, and excluded cases and controls who had: screening by both colonoscopy and sigmoidoscopy; or screening by barium enema and fecal occult blood test (FOBT); surveillance colonoscopy or sigmoidoscopy; diagnostic colonoscopy for positive FOBT; or unknown colonoscopy or sigmoidoscopy indications. Fourteen cases with unknown cancer location were not included in the right or left-sided analyses.

*

The analyses in this table used the same sample of controls; we used unconditional logistic regressions in order to retain all eligible subjects, including those whose matched controls or case had been excluded.

In Model I, odds ratios and confidence intervals were obtained using unconditional logistic regression that adjusted for matching variables (study site, age, sex, and health plan enrollment duration).

Model II was further adjusted for census block-group poverty levels (as a continuous variable), number of preventive health care visits, family history of colorectal cancer, and comorbidity index at baseline. Missing values of poverty level were imputed using predictive mean matching.