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Cited by 352

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The IARC Perspective on Colorectal Cancer Screening

Open access
Lauby-Secretan, Béatrice, Vilahur, Nadia, Bianchini, Franca, Guha, Neela, Straif, Kurt·2018·New England Journal of Medicine

Abstract

Colorectal cancer, which is the third most common cancer in men and the second most common in women, represents almost 10% of the annual global cancer incidence. Incidence rates of colorectal cancer show a strong positive gradient with an increasing level of economic development. Even so, the net 5-year rate of survival decreases with lower levels of income, with rates reaching 60% in high-income countries but falling to 30% or less in low-income countries. Established risk factors for colorectal cancer include consumption of processed meats, consumption of alcoholic beverages, tobacco smoking, and excess body fat, whereas consumption of dietary fiber and dairy products and increased levels of physical activity decrease the risk. In addition, certain subgroups of the population are at increased risk owing to genetic predisposition (e.g., the Lynch syndrome), a family or personal history of colorectal neoplasia, or medical conditions (e.g., inflammatory bowel disease) that have been associated with colorectal cancer.

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Metadata

Authors
Lauby-Secretan, B., Vilahur, N., Bianchini, F., Guha, N., & Straif, K.
Venue
New England Journal of Medicine
Published
2018-05-03
Volume
378
Issue
18
Pages
1734-1740
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2794698538
Cited by
352
References
3
FWCI
11.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The IARC Perspective on Colorectal Cancer Screening. https://app.cochat.ai/papers/10.1056/nejmsr1714643
The paper
Lauby-Secretan, B., Vilahur, N., Bianchini, F., Guha, N., & Straif, K. (2018). The IARC Perspective on Colorectal Cancer Screening. New England Journal of Medicine. https://doi.org/10.1056/nejmsr1714643

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.