Evidence map›Paper›PMID 31159235›Full record

SynthesisNutrients2019

The Relationship between Whole Grain Intake and Body Weight: Results of Meta-Analyses of Observational Studies and Randomized Controlled Trials.

Kevin C Maki, Orsolya M Palacios, Katie Koecher, Caleigh M Sawicki, Kara A Livingston, Marjorie Bell, Heather Nelson Cortes, Nicola M McKeown

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Association between osteoporosis and refined grain consumption in postmenopausal women: A case-control study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
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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

8 authors.

Kevin C MakiMidwest Biomedical Research/Center for Metabolic and Cardiovascular Health, 211 East Lake Street, Suite 3, Addison, IL 60101, USA. kmaki@mbclinicalresearch.com.
Orsolya M PalaciosMidwest Biomedical Research/Center for Metabolic and Cardiovascular Health, 211 East Lake Street, Suite 3, Addison, IL 60101, USA. opalacios@mbclinicalresearch.com.
Katie KoecherGeneral Mills, Inc., 1 General Mills Blvd., Minneapolis, MN 55426, USA. Katie.Koecher@genmills.com.
Caleigh M SawickiNutritional Epidemiology Program, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington St, Boston, MA 02111, USA. csawic01@exchange.tufts.edu.ORCID 0000-0002-8353-3106
Kara A LivingstonNutritional Epidemiology Program, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington St, Boston, MA 02111, USA. Kara.Livingston@tufts.edu.
Marjorie BellMidwest Biomedical Research/Center for Metabolic and Cardiovascular Health, 211 East Lake Street, Suite 3, Addison, IL 60101, USA. mbell@mbclinicalresearch.com.
Heather Nelson CortesKyzo Nutrition, LLC, 1612 Boulder Ridge Dr., Bolingbrook, IL 60490, USA. hnelsoncortes@gmail.com.
Nicola M McKeownNutritional Epidemiology Program, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington St, Boston, MA 02111, USA. nicola.mckeown@tufts.edu.

Funding

General Mills Not applicable
6 · The paper itself

Abstract

Results from some observational studies suggest that higher whole grain (WG) intake is associated with lower risk of weight gain. Ovid Medline was used to conduct a literature search for observational studies and randomized controlled trials (RCTs) assessing WG food intake and weight status in adults. A meta-regression analysis of cross-sectional data from 12 observational studies (136,834 subjects) and a meta-analysis of nine RCTs (973 subjects) was conducted; six prospective cohort publications were qualitatively reviewed. Cross-sectional data meta-regression results indicate a significant, inverse correlation between WG intake and body mass index (BMI): weighted slope, -0.0141 kg/m

Indexed as

Body WeightDietWhole GrainsAdultBody Mass IndexCross-Sectional StudiesHumansObservational Studies as TopicRandomized Controlled Trials as Topicbody compositionbody mass indexbody weightcross-sectionalmeta-analysisobesityprospective cohortsrandomized controlled trialswhole grains

Identifiers

PMID31159235
PMCPMC6627338

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.