Evidence map›Paper›PMID 42832344›Full record

ReviewGut microbes2026

Assessing diet-microbiome associations with linear models: variability across human studies.

Nicole M Simm, Georgina M Williams, Sophie Fowler, Katherine Barlow, Benazir Carter, Nicholas J Talley, Simon Keely, Kerith Duncanson, Emily C Hoedt

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Gut microbes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Nicole M SimmSchool of Biomedical Sciences & Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia.ORCID 0009-0009-1910-4479
Georgina M WilliamsNHMRC Centre of Research Excellence in Transforming Gut Health, University of Newcastle, Newcastle, NSW, Australia.ORCID 0000-0001-7089-3527
Sophie FowlerSchool of Biomedical Sciences & Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia.ORCID 0009-0009-6671-9345
Katherine BarlowCentre for Microbiome Research, Translational Research Institute, Queensland University of Technology (QUT), QLD, Woolloongabba, Australia.
Benazir CarterSchool of Science, College of Engineering, Science and Environment, University of Newcastle, NSW, Newcastle, Australia.ORCID 0009-0004-7488-8150
Nicholas J TalleyNHMRC Centre of Research Excellence in Transforming Gut Health, University of Newcastle, Newcastle, NSW, Australia.ORCID 0000-0003-2537-3092
Simon KeelySchool of Biomedical Sciences & Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia.ORCID 0000-0002-1248-9590
Kerith DuncansonNHMRC Centre of Research Excellence in Transforming Gut Health, University of Newcastle, Newcastle, NSW, Australia.ORCID 0000-0001-5525-6589
Emily C HoedtSchool of Biomedical Sciences & Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia.ORCID 0000-0003-2715-7588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding and identifying relationships between dietary intake and the gastrointestinal microbiome can provide critical information for optimization of human health. However, methodological approaches largely differ and can impact research findings. Here we outline differences in reported diet-microbiome associations from a range of studies utilizing comparable statistical methods. From a subset of 25 studies using comparable methodology, only 3% of reported diet-microbe associations were common across more than one study. As such, we emphasize the inconsistencies of findings within the literature and wider implications of these differences.

Indexed as

DietGastrointestinal MicrobiomeHumansDietdietary assessmentdiet–microbiome associationsgut microbiomemethodological heterogeneitymicrobiome methodology

Identifiers

PMID42832344
PMCPMC13644588

What OpenQuestion holds

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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.