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Cited by 194

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Pancreatic cancer, alcohol, diabetes mellitus and gall‐bladder disease

Cuzick, Jack, Babiker, Abdel G.·1989·International Journal of Cancer

Abstract

A case‐control study comprising 216 cases of pancreatic cancer and 279 controls was conducted to investigate the relationship of pancreatic cancer with certain chronic medical conditions and with the consumption of tea, coffee and alcoholic beverages. Significant positive associations with preexisting diabetes mellitus and gall‐bladder disease were observed and there was weak evidence of association with liver disease. The relative risks for diabetes mellitus and gallstones diagnosed at least one year previously were 4.1 (p = 0.005) and 2.8 (p = 0.01) respectively. Cases drank significantly more beer than controls (p = 0.005) and there was evidence of a positive trend in risk with total alcohol consumption. Smoking was a clear risk factor, but cases and controls were very similar with respect to tea and coffee drinking habits.

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Crossref · 10.1002/ijc.2910430312

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Metadata

Authors
Cuzick, J., & Babiker, A. G.
Venue
International Journal of Cancer
Publisher
Wiley
Published
1989-03-15
Volume
43
Issue
3
Pages
415-421
ISSN
  • 0020-7136 (ISSN-L)
  • 1097-0215
OpenAlex
W2047552910
Cited by
194
References
1
FWCI
2.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pancreatic cancer, alcohol, diabetes mellitus and gall‐bladder disease. https://app.cochat.ai/papers/10.1002/ijc.2910430312
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Cuzick, J., & Babiker, A. G. (1989). Pancreatic cancer, alcohol, diabetes mellitus and gall‐bladder disease. International Journal of Cancer. https://doi.org/10.1002/ijc.2910430312

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.