Evidence map›Paper›PMID 36216940›Full record

SynthesisNature medicine2022

Health effects associated with consumption of unprocessed red meat: a Burden of Proof study.

Haley Lescinsky, Ashkan Afshin, Charlie Ashbaugh, Catherine Bisignano, Michael Brauer, Giannina Ferrara, Simon I Hay, Jiawei He, Vincent Iannucci, Laurie B Marczak and 8 more

Abstract readSystematic Review
In one paragraph

Synthesis in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Trial
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  8. Review
  9. Plant and Animal Protein Sources in Inflammatory Bowel Disease: Current Evidence and Clinical Implications.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Review
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Haley LescinskyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Ashkan AfshinInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Charlie AshbaughInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Catherine BisignanoInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Michael BrauerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Giannina FerraraInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Simon I HayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0611-7272
Jiawei HeInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Vincent IannucciInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Laurie B MarczakInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Susan A McLaughlinInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Erin C MullanyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Marie C ParentInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9613-5350
Audrey L SerfesInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Reed J D SorensenInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Aleksandr Y AravkinInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Peng ZhengInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. cjlm@uw.edu.ORCID http://orcid.org/0000-0002-4930-9450

Funding

University of Washington Center for Demography and Economics of Aging-OverallP30AG047845 · NIA · UNIVERSITY OF WASHINGTON · PI MURRAY, CHRISTOPHER J.L. · 2014 to 2019
$3.8M
Methodologies to Enhance Understanding of HIV-Associated Social DeterminantsR01MH110163 · NIMH · UNIVERSITY OF WASHINGTON · PI WANG, HAIDONG · 2016 to 2020
$1.9M
NIA NIH HHS P30 AG047845NIMH NIH HHS R01 MH110163
6 · The paper itself

Abstract

Characterizing the potential health effects of exposure to risk factors such as red meat consumption is essential to inform health policy and practice. Previous meta-analyses evaluating the effects of red meat intake have generated mixed findings and do not formally assess evidence strength. Here, we conducted a systematic review and implemented a meta-regression-relaxing conventional log-linearity assumptions and incorporating between-study heterogeneity-to evaluate the relationships between unprocessed red meat consumption and six potential health outcomes. We found weak evidence of association between unprocessed red meat consumption and colorectal cancer, breast cancer, type 2 diabetes and ischemic heart disease. Moreover, we found no evidence of an association between unprocessed red meat and ischemic stroke or hemorrhagic stroke. We also found that while risk for the six outcomes in our analysis combined was minimized at 0 g unprocessed red meat intake per day, the 95% uncertainty interval that incorporated between-study heterogeneity was very wide: from 0-200 g d

Indexed as

Diabetes Mellitus, Type 2Red MeatChronic DiseaseDietHumansMeatRisk Factors

Identifiers

PMID36216940
PMCPMC9556326

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.