Evidence map›Paper›PMID 40622981›Full record

ArticleJNCI cancer spectrum2025

Meat consumption and risk of hepatobiliary cancers in the National Institutes of Health-AARP Diet and Health Study.

David Wahl, Erikka Loftfield, Sémi Zouiouich, Linda M Liao, Hyokyoung G Hong, Katherine A McGlynn, Rashmi Sinha

Abstract read
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Article in JNCI cancer spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

David WahlDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0001-8565-2283
Erikka LoftfieldDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0002-3573-8748
Sémi ZouiouichDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0003-0263-3285
Linda M LiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0002-1923-5294
Hyokyoung G HongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0002-4280-6243
Katherine A McGlynnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0003-2329-9933
Rashmi SinhaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0002-2466-7462

Funding

NCI NIH HHSNIH HHS
6 · The paper itself

Abstract

backgroundWe investigated the relationship between intakes of red, white, and processed meats with liver cancer-including hepatocellular carcinoma and intrahepatic cholangiocarcinoma, gallbladder cancer, and other biliary tract cancers.

methodsThe analytic cohort consisted of 480 347 US adults in the prospective National Institutes of Health-AARP Diet and Health Study who were cancer-free at baseline at ages 50-71 years. With a median follow-up of 19.68 years, we identified 1150 participants with incident liver cancer (219 intrahepatic cholangiocarcinomas and 931 hepatocellular carcinomas), 231 with incident gallbladder cancer, and 472 with other incident biliary tract cancers (272 extrahepatic cholangiocarcinomas). At baseline, a self-administered food frequency questionnaire assessed usual dietary intake. We used multivariable Cox proportional hazards models to estimate the associations of meat type with hepatobiliary cancers. We used substitution models with the "leave-one-out" approach as our primary analysis and addition models as a supplemental analysis.

resultsReplacing red meat with white meat was inversely associated with liver cancer (hazard ratio [HR]50 g/1000 kcal = 0.62, 95% CI = 0.51 to 0.77), hepatocellular carcinoma (HR50 g/1000 kcal = 0.63, 95% CI = 0.50 to 0.80), and intrahepatic cholangiocarcinoma (HR50 g/1000 kcal = 0.56, 95% CI = 0.35 to 0.90). Because of the symmetry of substitution models, replacing white meat with red meat yielded hazard ratios equal to the reciprocal of these values, indicating increased risk for the same cancer sites. No associations were observed for meat intake and gallbladder or other biliary tract cancers.

conclusionsOur study indicates replacing intake of red meat with white meat could lower risk of liver cancer by nearly 40%, whereas replacing white meat with red meat could increase the risk by more than 60%.

Indexed as

Biliary Tract NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaDietGallbladder NeoplasmsLiver NeoplasmsMeatAgedBile Duct NeoplasmsBile Ducts, IntrahepaticFemaleFollow-Up StudiesHumansIncidenceMaleMeat Products

Identifiers

PMID40622981
PMCPMC12322487

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.