Evidence map›Paper›PMID 35307047›Full record

ArticlePublic health nutrition2023

Degree of adherence to plant-based diet and total and cause-specific mortality: prospective cohort study in the Million Veteran Program.

Dong D Wang, Yanping Li, Xuan-Mai T Nguyen, Rebecca J Song, Yuk-Lam Ho, Frank B Hu, Walter C Willett, Peter Wilson, Kelly Cho, J Michael Gaziano and 2 more

Open access · goldAbstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Dong D WangMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Yanping LiMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.ORCID https://orcid.org/0000-0002-0412-2748
Xuan-Mai T NguyenMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Rebecca J SongMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Yuk-Lam HoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Frank B HuThe Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA02115, USA.
Walter C WillettThe Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA02115, USA.
Peter WilsonAtlanta VA Medical Center, Atlanta, GA, USA.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Luc DjousséMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Million Veteran Program
Brigham and Women's Hospital · USBoston University · USEmory Healthcare · USHarvard University · USVA Boston Healthcare System · US

Funding

Cardiovascular Disease Risk Factors, Cardiovascular Disease Risk Prediction, and Genetics in the Million Veteran ProgramI01BX004821 · VA · VETERANS HEALTH ADMINISTRATION · PI PETER WYMAN WILSON · 2020 to 2026
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Prediction of CVD Risk in VeteransI01CX001025 · VA · VETERANS HEALTH ADMINISTRATION · PI CHO, KELLY, WILSON, PETER WYMAN · 2014 to 2025
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BLRD VA I01 BX004821CSRD VA I01 CX001025
6 · The paper itself

Abstract

objectiveTo examine the association between adherence to plant-based diets and mortality.

designProspective study. We calculated a plant-based diet index (PDI) by assigning positive scores to plant foods and reverse scores to animal foods. We also created a healthful PDI (hPDI) and an unhealthful PDI (uPDI) by further separating the healthy plant foods from less-healthy plant foods.

settingThe VA Million Veteran Program.

participants315 919 men and women aged 19-104 years who completed a FFQ at the baseline.

resultsWe documented 31 136 deaths during the follow-up. A higher PDI was significantly associated with lower total mortality (hazard ratio (HR) comparing extreme deciles = 0·75, 95 % CI: 0·71, 0·79,

conclusionsA greater adherence to a plant-based diet was associated with substantially lower total mortality in this large population of veterans. These findings support recommending plant-rich dietary patterns for the prevention of major chronic diseases.

Indexed as

MortalityPlant-based dietPublic health

Identifiers

PMID35307047
PMCPMC13076072
OpenAlexW4220754306

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.