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


Journal

Annals of internal medicine
ISSN: 1539-3704
Titre abrégé: Ann Intern Med
Pays: United States
ID NLM: 0372351

Informations de publication

Date de publication:
19 11 2019
Historique:
pubmed: 1 10 2019
medline: 17 6 2020
entrez: 1 10 2019
Statut: ppublish

Résumé

This article has been corrected. The original version (PDF) is appended to this article as a Supplement. Studying dietary patterns may provide insights into the potential effects of red and processed meat on health outcomes. 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. 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. 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. 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. 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. Observational studies are prone to residual confounding, and these studies provide low- or very-low-certainty evidence according to the GRADE criteria. 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. None. (PROSPERO: CRD42017074074).

Sections du résumé

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).

Identifiants

pubmed: 31569217
pii: 2752327
doi: 10.7326/M19-1583
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

732-741

Commentaires et corrections

Type : CommentIn

Auteurs

Robin W M Vernooij (RWM)

Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands, and Dalhousie University, Halifax, Nova Scotia, Canada (R.W.V.).

Dena Zeraatkar (D)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Mi Ah Han (MA)

Chosun University, Gwangju, Republic of Korea (M.A.H.).

Regina El Dib (R)

Dalhousie University, Halifax, Nova Scotia, Canada, and Universidade Estadual Paulista, São José dos Campos, São Paulo, Brazil (R.E.).

Max Zworth (M)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Kirolos Milio (K)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Daegan Sit (D)

University of British Columbia, Vancouver, British Columbia, Canada (D.S.).

Yung Lee (Y)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Huda Gomaa (H)

Alexandria University, Alexandria, Egypt, and Tanta Chest Hospital, Ministry of Health, Tanta, Egypt (H.G.).

Claudia Valli (C)

Iberoamerican Cochrane Centre Barcelona, Biomedical Research Institute San Pau, Barcelona, Spain (C.V.).

Mateusz J Swierz (MJ)

Jagiellonian University Medical College, Krakow, Poland (M.J.S., M.M.B.).

Yaping Chang (Y)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Steven E Hanna (SE)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Paula M Brauer (PM)

University of Guelph, Guelph, Ontario, Canada (P.M.B.).

John Sievenpiper (J)

University of Toronto and St. Michael's Hospital, Toronto, Ontario, Canada (J.S.).

Russell de Souza (R)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Pablo Alonso-Coello (P)

Iberoamerican Cochrane Centre Barcelona, Biomedical Research Institute San Pau (IIB Sant Pau), and CIBER de Epidemiología y Salud Publicá (CIBERESP), Barcelona, Spain (P.A.).

Malgorzata M Bala (MM)

Jagiellonian University Medical College, Krakow, Poland (M.J.S., M.M.B.).

Gordon H Guyatt (GH)

McMaster University, Hamilton, Ontario, Canada (D.Z., M.Z., K.M., Y.L., Y.C., S.E.H., R.D., G.H.G.).

Bradley C Johnston (BC)

Dalhousie University, Halifax, Nova Scotia, and McMaster University, Hamilton, Ontario, Canada (B.C.J.).

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