2005
DOI: 10.1158/1055-9965.epi-04-0891
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Is the Association with Fiber from Foods in Colorectal Cancer Confounded by Folate Intake?

Abstract: The effect of multivariate adjustment including folate on the strong protective effect of fiber in foods on colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition was investigated in 1,721 cases identified in the latest follow-up. The inclusion of an additional 656 cases confirmed our previously published results, with a strong and significant reduction in colorectal cancer risk of f9% for each uncalibrated quintile increase in fiber (P linear trend < 0.001) compared with an… Show more

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Cited by 107 publications
(107 citation statements)
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“…This may be biologically plausible because the rectum is empty most of the time (49), reducing the abovementioned potential risk-reducing effects of fiber. The colon predominance in risk reduction in the present study is in line with some case-control (50) and cohort studies (21,22).…”
Section: Discussionsupporting
confidence: 92%
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“…This may be biologically plausible because the rectum is empty most of the time (49), reducing the abovementioned potential risk-reducing effects of fiber. The colon predominance in risk reduction in the present study is in line with some case-control (50) and cohort studies (21,22).…”
Section: Discussionsupporting
confidence: 92%
“…On the contrary, the European Prospective Investigation into Cancer and Nutrition (EPIC) reported a lower risk of colorectal cancer with higher intake of total fiber (21,22).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…001 for linear trend; Bingham et al 2005) compared with an 8 % reduction in the previous report. As in the earlier report, the reduction in risk is apparent at the third quintile of fibre intake of approximately 20 g fibre/d compared with 12 g/d.…”
Section: Re-analysis Of the Epic Datamentioning
confidence: 52%
“…1), which often has hindered their detection in epidemiological studies where confounding, measurement error, and other forms of bias can drown out any underlying signal. Therefore, the relationships between an exposure of interest and disease outcome often only become apparent in very large, well-conducted cohort studies (such as the European Prospective Investigation into Cancer and Nutrition [EPIC]) [13] or meta-analyses of cohort studies. However, even then there may still be insufficient statistical power to observe a significant association (e.g., in the Pooling Project [14]) if the signal to noise ratio is low.…”
Section: Introductionmentioning
confidence: 99%