Evidence map›Paper›PMID 41418032›Full record

ArticleDiabetes care2026

Multiomics to Predict Individual Responses to Weight Loss Interventions: A Promising Strategy to Enable Precision Nutrition.

Danielle E Haslam, Frank B Hu

Abstract readEditorialComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Danielle E HaslamChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital Harvard Medical School, Boston, MA.ORCID 0000-0003-0144-3287
Frank B HuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital Harvard Medical School, Boston, MA.ORCID 0000-0002-8233-6274

Funding

Metabolomics Core for the Dietary Biomarkers Development Center at Harvard UniversityU2CDK129670 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI LIANG, LIMING · 2021 to 2025
$7.0M
Mediterranean diet, Metabolites, and Cardiovascular DiseaseR01HL118264 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, LAMUELA-RAVENTÓS, ROSA · 2013 to 2025
$6.8M
Lifestyle Interventions, metabolites, microbiome, and diabetes riskR01DK127601 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, RUIZ-CANELA, MIGUEL · 2021 to 2024
$1.9M
Proteomic and integrative omic profiles of sugar- and artificially sweetened beverage consumption and changes in type 2 diabetes risk factorsK01DK136968 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI Danielle Haslam · 2023 to 2026
$634k
NHLBI NIH HHS HL118264NHLBI NIH HHS R01 HL118264NIDDK NIH HHS DK127601NIDDK NIH HHS K01DK126968NIDDK NIH HHS K01 DK136968NIDDK NIH HHS R01 DK127601NIDDK NIH HHS U2C DK129670NIDDK NIH HHS U2CDK129670
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41418032
PMCPMC12719705

What OpenQuestion holds

Textmetadata
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.