Evidence map›Paper›PMID 27301975›Full record

SynthesisBMJ (Clinical research ed.)2016

Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies.

Dagfinn Aune, NaNa Keum, Edward Giovannucci, Lars T Fadnes, Paolo Boffetta, Darren C Greenwood, Serena Tonstad, Lars J Vatten, Elio Riboli, Teresa Norat

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 489 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
489citing papers in PubMed, 17 pooled it
89.6field-weighted citation impact, top 1% 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

489 citing papers in PubMed, 17 syntheses or guidelines pooled it, 982 citations in OpenAlex.

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

4 · The record

Corrections and comments

  • Commented on by
    2017
5 · Who and what money

Authors and funding

10 authors at 8 institutions in 3 countries.

Dagfinn AuneDepartment of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
NaNa KeumDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.
Edward GiovannucciDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Lars T FadnesCentre for International Health, Department of Global Public Health and Primary Care and Department of Clinical Dentistry, University of Bergen, Bergen, Norway.
Paolo BoffettaThe Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Darren C GreenwoodBiostatistics Unit, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, UK.
Serena TonstadSection of Preventive Cardiology, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Ullevål, Oslo, Norway.
Lars J VattenDepartment of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Teresa NoratDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Imperial College London · GBBrigham and Women's Hospital · USHarvard University · USIcahn School of Medicine at Mount Sinai · USNorwegian University of Science and Technology · NOOslo University Hospital · NOUniversity of Bergen · NOUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantify the dose-response relation between consumption of whole grain and specific types of grains and the risk of cardiovascular disease, total cancer, and all cause and cause specific mortality. DATA SOURCES: PubMed and Embase searched up to 3 April 2016. STUDY SELECTION: Prospective studies reporting adjusted relative risk estimates for the association between intake of whole grains or specific types of grains and cardiovascular disease, total cancer, all cause or cause specific mortality. DATA SYNTHESIS: Summary relative risks and 95% confidence intervals calculated with a random effects model.

results45 studies (64 publications) were included. The summary relative risks per 90 g/day increase in whole grain intake (90 g is equivalent to three servings-for example, two slices of bread and one bowl of cereal or one and a half pieces of pita bread made from whole grains) was 0.81 (95% confidence interval 0.75 to 0.87; I(2)=9%, n=7 studies) for coronary heart disease, 0.88 (0.75 to 1.03; I(2)=56%, n=6) for stroke, and 0.78 (0.73 to 0.85; I(2)=40%, n=10) for cardiovascular disease, with similar results when studies were stratified by whether the outcome was incidence or mortality. The relative risks for morality were 0.85 (0.80 to 0.91; I(2)=37%, n=6) for total cancer, 0.83 (0.77 to 0.90; I(2)=83%, n=11) for all causes, 0.78 (0.70 to 0.87; I(2)=0%, n=4) for respiratory disease, 0.49 (0.23 to 1.05; I(2)=85%, n=4) for diabetes, 0.74 (0.56 to 0.96; I(2)=0%, n=3) for infectious diseases, 1.15 (0.66 to 2.02; I(2)=79%, n=2) for diseases of the nervous system disease, and 0.78 (0.75 to 0.82; I(2)=0%, n=5) for all non-cardiovascular, non-cancer causes. Reductions in risk were observed up to an intake of 210-225 g/day (seven to seven and a half servings per day) for most of the outcomes. Intakes of specific types of whole grains including whole grain bread, whole grain breakfast cereals, and added bran, as well as total bread and total breakfast cereals were also associated with reduced risks of cardiovascular disease and/or all cause mortality, but there was little evidence of an association with refined grains, white rice, total rice, or total grains.

conclusionsThis meta-analysis provides further evidence that whole grain intake is associated with a reduced risk of coronary heart disease, cardiovascular disease, and total cancer, and mortality from all causes, respiratory diseases, infectious diseases, diabetes, and all non-cardiovascular, non-cancer causes. These findings support dietary guidelines that recommend increased intake of whole grain to reduce the risk of chronic diseases and premature mortality.

Indexed as

DietWhole GrainsCardiovascular DiseasesCause of DeathHumansNeoplasmsProspective StudiesRisk Factors

Identifiers

PMID27301975
PMCPMC4908315
OpenAlexW2418984266

What OpenQuestion holds

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LicenceCC BY
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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.