Reduction of Red and Processed Meat Intake and Cancer Mortality and Incidence: 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. Cancer incidence has continuously increased over the past few centuries and represents a major health burden worldwide. To evaluate the possible causal relationship between intake of red and processed meat and cancer mortality and incidence. Embase, Cochrane Central Register of Controlled Trials, Web of Science, CINAHL, and ProQuest from inception until July 2018 and MEDLINE from inception until April 2019 without language restrictions. Cohort studies that included more than 1000 adults and reported the association between consumption of unprocessed red and processed meat and cancer mortality and incidence. Teams of 2 reviewers independently extracted data and assessed risk of bias; 1 reviewer evaluated the certainty of evidence, which was confirmed or revised by the senior reviewer. Of 118 articles (56 cohorts) with more than 6 million participants, 73 articles were eligible for the dose-response meta-analyses, 30 addressed cancer mortality, and 80 reported cancer incidence. Low-certainty evidence suggested that an intake reduction of 3 servings of unprocessed meat per week was associated with a very small reduction in overall cancer mortality over a lifetime. Evidence of low to very low certainty suggested that each intake reduction of 3 servings of processed meat per week was associated with very small decreases in overall cancer mortality over a lifetime; prostate cancer mortality; and incidence of esophageal, colorectal, and breast cancer. Limited causal inferences due to residual confounding in observational studies, risk of bias due to limitations in diet assessment and adjustment for confounders, recall bias in dietary assessment, and insufficient data for planned subgroup analyses. The possible absolute effects of red and processed meat consumption on cancer mortality and incidence are very small, and the certainty of evidence is low to very low. None. (PROSPERO: CRD42017074074).

Sections du résumé

This article has been corrected. The original version (PDF) is appended to this article as a Supplement.
Background
Cancer incidence has continuously increased over the past few centuries and represents a major health burden worldwide.
Purpose
To evaluate the possible causal relationship between intake of red and processed meat and cancer mortality and incidence.
Data Sources
Embase, Cochrane Central Register of Controlled Trials, Web of Science, CINAHL, and ProQuest from inception until July 2018 and MEDLINE from inception until April 2019 without language restrictions.
Study Selection
Cohort studies that included more than 1000 adults and reported the association between consumption of unprocessed red and processed meat and cancer mortality and incidence.
Data Extraction
Teams of 2 reviewers independently extracted data and assessed risk of bias; 1 reviewer evaluated the certainty of evidence, which was confirmed or revised by the senior reviewer.
Data Synthesis
Of 118 articles (56 cohorts) with more than 6 million participants, 73 articles were eligible for the dose-response meta-analyses, 30 addressed cancer mortality, and 80 reported cancer incidence. Low-certainty evidence suggested that an intake reduction of 3 servings of unprocessed meat per week was associated with a very small reduction in overall cancer mortality over a lifetime. Evidence of low to very low certainty suggested that each intake reduction of 3 servings of processed meat per week was associated with very small decreases in overall cancer mortality over a lifetime; prostate cancer mortality; and incidence of esophageal, colorectal, and breast cancer.
Limitation
Limited causal inferences due to residual confounding in observational studies, risk of bias due to limitations in diet assessment and adjustment for confounders, recall bias in dietary assessment, and insufficient data for planned subgroup analyses.
Conclusion
The possible absolute effects of red and processed meat consumption on cancer mortality and incidence are very small, and the certainty of evidence is low to very low.
Primary Funding Source
None. (PROSPERO: CRD42017074074).

Identifiants

pubmed: 31569214
pii: 2752321
doi: 10.7326/M19-0699
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

711-720

Commentaires et corrections

Type : CommentIn

Auteurs

Mi Ah Han (MA)

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

Dena Zeraatkar (D)

McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., G.L., N.R., M.K.P., M.Z., J.J.B.).

Gordon H Guyatt (GH)

McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., G.L., N.R., M.K.P., M.Z., J.J.B.).

Robin W M Vernooij (RWM)

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

Regina El Dib (R)

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

Ying Zhang (Y)

Beijing University of Chinese Medicine, Beijing, China (Y.Z.).

Abdullah Algarni (A)

Aseer Central Hospital, Abha, Saudi Arabia (A.A.).

Gareth Leung (G)

McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., G.L., N.R., M.K.P., M.Z., J.J.B.).

Dawid Storman (D)

Jagiellonian University Medical College, Kraków, Poland (D.S.).

Claudia Valli (C)

Iberoamerican Cochrane Centre Barcelona, Biomedical Research Institute Sant Pau, and CIBER de Epidemiología y Salud Pública, Barcelona, Spain (C.V., M.R.).

Montserrat Rabassa (M)

Iberoamerican Cochrane Centre Barcelona, Biomedical Research Institute Sant Pau, and CIBER de Epidemiología y Salud Pública, Barcelona, Spain (C.V., M.R.).

Nadia Rehman (N)

McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., G.L., N.R., M.K.P., M.Z., J.J.B.).

Michael K Parvizian (MK)

McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., G.L., N.R., M.K.P., M.Z., J.J.B.).

Max Zworth (M)

McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., G.L., N.R., M.K.P., M.Z., J.J.B.).

Jessica J Bartoszko (JJ)

McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., G.L., N.R., M.K.P., M.Z., J.J.B.).

Luciane Cruz Lopes (LC)

University of Sorocaba, Sorocaba, Sao Paulo, Brazil (L.C.L.).

Daegan Sit (D)

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

Malgorzata M Bala (MM)

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

Pablo Alonso-Coello (P)

McMaster University, Hamilton, Ontario, Canada, and Iberoamerican Cochrane Centre Barcelona, Biomedical Research Institute Sant Pau, and CIBER de Epidemiología y Salud Pública, Barcelona, Spain (P.A.).

Bradley C Johnston (BC)

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

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Classifications MeSH