The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Meat consumption and colorectal cancer risk: Dose‐response meta‐analysis of epidemiological studies
Abstract
The hypothesis that consumption of red and processed meat increases colorectal cancer risk is reassessed in a meta‐analysis of articles published during 1973–99. The mean relative risk (RR) for the highest quantile of intake vs. the lowest was calculated and the RR per gram of intake was computed through log‐linear models. Attributable fractions and preventable fractions for hypothetical reductions in red meat consumption in different geographical areas were derived using the RR log‐linear estimates and prevalence of red meat consumption from FAO data and national dietary surveys. High intake of red meat, and particularly of processed meat, was associated with a moderate but significant increase in colorectal cancer risk. Average RRs and 95% confidence intervals (CI) for the highest quantile of consumption of red meat were 1.35 (CI: 1.21–1.51) and of processed meat, 1.31 (CI: 1.13–1.51). The RRs estimated by log‐linear dose‐response analysis were 1.24 (CI: 1.08–1.41) for an increase of 120 g/day of red meat and 1.36 (CI: 1.15–1.61) for 30 g/day of processed meat. Total meat consumption was not significantly associated with colorectal cancer risk. The risk fraction attributable to current levels of red meat intake was in the range of 10–25% in regions where red meat intake is high. If average red meat intake is reduced to 70 g/week in these regions, colorectal cancer risk would hypothetically decrease by 7–24%. © 2001 Wiley‐Liss, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Willett, W. C. (1998) · doi:10.1093/acprof:oso/9780195122978.001.0001 · Cited by 4,541
The Causes of Cancer: Quantitative Estimates of Avoidable Risks of Cancer in the United States Today
Doll, R., & Peto, R. (1981) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/66.6.1192 · Cited by 3,927
Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis
Greenland, S., & Longnecker, M. P. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116237 · Cited by 2,353
PROPORTION OF DISEASE CAUSED OR PREVENTED BY A GIVEN EXPOSURE, TRAIT OR INTERVENTION1
MIETTINEN, O. S. (1974) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a121617 · Cited by 1,036
Heterogeneity in Meta-analysis of Data from Epidemiologic Studies: A Commentary
Colditz, G. A., Burdick, E., & Mosteller, F. (1995) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117644 · Cited by 245
Cited by
Nutrition and physical activity guidelines for cancer survivors
Rock, C. L., Doyle, C., Demark‐Wahnefried, W., Meyerhardt, J., Courneya, K. S., Schwartz, A. L., Bandera, E. V., Hamilton, K. K., Grant, B., McCullough, M., et al. (2012) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21142 · Cited by 1,995
Global Burden of 5 Major Types of Gastrointestinal Cancer
Arnold, M., Abnet, C. C., Neale, R. E., Vignat, J., Giovannucci, E. L., McGlynn, K. A., & Bray, F. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.02.068 · Cited by 2,027
Kushi, L. H., Byers, T., Doyle, C., Bandera, E. V., McCullough, M., Gansler, T., Andrews, K. S., Thun, M. J., & The American Cancer Society 2006 Nutrition and Physical Activity Guidelines Advisory Committee (2006) · CA A Cancer Journal for Clinicians · doi:10.3322/canjclin.56.5.254 · Cited by 1,901
Food, livestock production, energy, climate change, and health
McMichael, A. J., Powles, J. W., Butler, C. D., & Uauy, R. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61256-2 · Cited by 1,226
Watts, N., Amann, M., Ayeb-Karlsson, S., Belesova, K., Bouley, T., Boykoff, M., Byass, P., Cai, W., Campbell-Lendrum, D., Chambers, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)32464-9 · Cited by 1,236
Metadata
- Authors
- Norat, T., Lukanova, A., Ferrari, P., & Riboli, E.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2001-12-18
- Volume
- 98
- Issue
- 2
- Pages
- 241-256
- ISSN
- 0020-7136 (ISSN-L)
- 1097-0215
- OpenAlex
- W2091817272
- Cited by
- 501
- References
- 7
- FWCI
- 18.08
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
