| Literature DB >> 15208618 |
A Altieri1, C Pelucchi, R Talamini, C Bosetti, S Franceschi, C La Vecchia.
Abstract
In two case-control studies from Italy covering 3533 cases of colorectal cancer and 7062 hospital controls, the odds ratios were 1.04 after cholecystectomy for colorectal, 1.08 for colon and 1.03 for rectal cancers. The results did not differ significantly by gender, colon subsite or time since diagnosis.Entities:
Mesh:
Year: 2004 PMID: 15208618 PMCID: PMC2409744 DOI: 10.1038/sj.bjc.6601721
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Relation between history and time since diagnosis of cholelithiasis and colorectal cancer, among 3533 cases and 7062 controls (Italy, 1985-1996)
| History of cholelithiasis | ||||||
| No | 1858 : 3761 | 1 | 1325 : 2696 | 1 | 3183 : 6457 | 1 |
| Yes | 139 : 191 | 1.21 (0.95–1.54) | 211 : 414 | 0.95 (0.79–1.15) | 350 : 605 | 1.04 (0.90–1.21) |
| Time since diagnosis (years) | ||||||
| <10 | 65 : 83 | 1.35 (0.95–1.92) | 74 : 144 | 0.97 (0.72–1.32) | 139 : 227 | 1.13 (0.90–1.42) |
| ⩾10 | 72 : 107 | 1.11 (0.81–1.52) | 137 : 270 | 0.96 (0.77–1.21) | 209 : 377 | 0.99 (0.82–1.19) |
| History of cholelithiasis | ||||||
| No | 1103 : 3761 | 1 | 854 : 2696 | 1 | 1957 : 6457 | 1 |
| Yes | 83 : 191 | 1.24 (0.93–1.64) | 140 : 414 | 1.01 (0.81–1.26) | 223 : 605 | 1.08 (0.91–1.28) |
| Time since diagnosis (years) | ||||||
| <10 | 41 : 83 | 1.47 (0.98–2.20) | 47 : 144 | 0.95 (0.67–1.36) | 88 : 227 | 1.16 (0.89–1.51) |
| ⩾10 | 40 : 107 | 1.03 (0.70–1.52) | 93 : 270 | 1.05 (0.80–1.36) | 133 : 377 | 1.02 (0.82–1.26) |
| History of cholelithiasis | ||||||
| No | 755 : 3761 | 1 | 471 : 2696 | 1 | 1226 : 6457 | 1 |
| Yes | 56 : 191 | 1.22 (0.88–1.69) | 71 : 414 | 0.93 (0.70–1.23) | 127 : 605 | 1.03 (0.83–1.27) |
| Time since diagnosis (years) | ||||||
| <10 | 24 : 83 | 1.21 (0.75–1.97) | 27 : 144 | 1.03 (0.66–1.59) | 51 : 227 | 1.12 (0.81–1.54) |
| ⩾10 | 32 : 107 | 1.25 (0.82–1.90) | 44 : 270 | 0.88 (0.62–1.25) | 76 : 377 | 0.98 (0.75–1.28) |
Estimates from unconditional multiple logistic regression models, including terms for age, sex, study centre, education, cigarette smoking, alcohol drinking, BMI, meat consumption, total energy intake, history of diabetes, history of colorectal cancer in parents and siblings, menopausal status, use of oral contraceptives or hormone replacement therapy.
Reference category.
The sum does not correspond to the total number of subjects because of some missing values.