Meta-analysis2019

Patterns of Red and Processed Meat Consumption and Risk for Cardiometabolic and Cancer Outcomes: A Systematic Review and Meta-analysis of Cohort Studies

Vernooij RWM, Zeraatkar D, Han MA, El Dib R, Zworth M, Milio K, Sit D, Lee Y, Gomaa H, Valli C, Swierz MJ, Chang Y, Hanna SE, Brauer PM, Sievenpiper J, de Souza R, Alonso-Coello P, Bala MM, Guyatt GH, Johnston BC

Annals of internal medicine · 92 citations

Review labels

Funding not disclosedLumps processed with unprocessed meat

Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.

How it was studied

Design
Meta-analysis (indexed by PubMed)
Studied in
People
Main outcome
Clinical events such as disease or death
Intake measured by
Not stated

Who paid for it

Funding
Funding not disclosed

Publication

Published
2019-10-01 · Ann Intern Med · vol. 171 · issue 10 · pp. 732–741
Publisher
American College of Physicians
Cited
153 citations · more than 100% of similar papers · 21.0× the field average
Impact
Top 10% most cited in its field
References
41 works
Access
Open access (repository copy) · CC-BY-NC-ND
Research areas
Nutritional Studies and Diet · Agriculture Sustainability and Environmental Impact · Consumer Attitudes and Food Labeling
Keywords
Medicine, Red meat, Confounding, Observational study, Cancer, CINAHL, Cohort study, Internal medicine, Psychological intervention, Pathology
MeSH
humans, neoplasms, cardiovascular diseases, diet, meat products, red meat

20 authors

From CA, NL, KR, EG, ES, PL, US

  • Robin W.M. VernooijDalhousie University; Netherlands Comprehensive Cancer Organisation
  • Dena ZeraatkarMcMaster University
  • Mi Ah HanChosun University
  • Regina El DibDalhousie University
  • Max ZworthMcMaster University
  • Kirolos MilioMcMaster University

Abstract

This article has been corrected. The original version (PDF) is appended to this article as a Supplement.

Background

Studying dietary patterns may provide insights into the potential effects of red and processed meat on health outcomes.

Purpose

To evaluate the effect of dietary patterns, including different amounts of red or processed meat, on all-cause mortality, cardiometabolic outcomes, and cancer incidence and mortality.

Data sources

Systematic search of MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, CINAHL, Web of Science, and ProQuest Dissertations & Theses Global from inception to April 2019 with no restrictions on year or language.

Study selection

Teams of 2 reviewers independently screened search results and included prospective cohort studies with 1000 or more participants that reported on the association between dietary patterns and health outcomes.

Data extraction

Two reviewers independently extracted data, assessed risk of bias, and evaluated the certainty of evidence using GRADE (Grading of Recommendations Assessment, Development and Evaluation) criteria.

Data synthesis

Eligible studies that followed patients for 2 to 34 years revealed low- to very-low-certainty evidence that dietary patterns lower in red and processed meat intake result in very small or possibly small decreases in all-cause mortality, cancer mortality and incidence, cardiovascular mortality, nonfatal coronary heart disease, fatal and nonfatal myocardial infarction, and type 2 diabetes. For all-cause, cancer, and cardiovascular mortality and incidence of some types of cancer, the total sample included more than 400 000 patients; for other outcomes, total samples included 4000 to more than 300 000 patients.

Limitation

Observational studies are prone to residual confounding, and these studies provide low- or very-low-certainty evidence according to the GRADE criteria.

Conclusion

Low- or very-low-certainty evidence suggests that dietary patterns with less red and processed meat intake may result in very small reductions in adverse cardiometabolic and cancer outcomes.

Primary funding source

None. (PROSPERO: CRD42017074074).

Abstract via Europe PMC. Copyright remains with the authors or publisher.

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