Evidence map›Paper›PMID 36216936›Full record

ArticleNature medicine2022

Health effects associated with vegetable consumption: a Burden of Proof study.

Jeffrey D Stanaway, Ashkan Afshin, Charlie Ashbaugh, Catherine Bisignano, Michael Brauer, Giannina Ferrara, Vanessa Garcia, Demewoz Haile, Simon I Hay, Jiawei He and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

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

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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Jeffrey D StanawayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. stanaway@uw.edu.ORCID http://orcid.org/0000-0003-2209-8478
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.
Vanessa GarciaInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Demewoz HaileInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-0047-4276
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.
Haley LescinskyInstitute 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.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

Previous research suggests a protective effect of vegetable consumption against chronic disease, but the quality of evidence underlying those findings remains uncertain. We applied a Bayesian meta-regression tool to estimate the mean risk function and quantify the quality of evidence for associations between vegetable consumption and ischemic heart disease (IHD), ischemic stroke, hemorrhagic stroke, type 2 diabetes and esophageal cancer. Increasing from no vegetable consumption to the theoretical minimum risk exposure level (306-372 g daily) was associated with a 23.2% decline (95% uncertainty interval, including between-study heterogeneity: 16.4-29.4) in ischemic stroke risk; a 22.9% (13.6-31.3) decline in IHD risk; a 15.9% (1.7-28.1) decline in hemorrhagic stroke risk; a 28.5% (-0.02-51.4) decline in esophageal cancer risk; and a 26.1% (-3.6-48.3) decline in type 2 diabetes risk. We found statistically significant protective effects of vegetable consumption for ischemic stroke (three stars), IHD (two stars), hemorrhagic stroke (two stars) and esophageal cancer (two stars). Including between-study heterogeneity, we did not detect a significant association with type 2 diabetes, corresponding to a one-star rating. Although current evidence supports increased efforts and policies to promote vegetable consumption, remaining uncertainties suggest the need for continued research.

Indexed as

Diabetes Mellitus, Type 2Esophageal NeoplasmsHemorrhagic StrokeIschemic StrokeStrokeBayes TheoremFruitHumansRisk FactorsVegetables

Identifiers

PMID36216936
PMCPMC9556321

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.