Evidence map›Paper›PMID 35754192›Full record

Trial reportThe American journal of clinical nutrition2022

Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention.

Chunxiao Li, Fumiaki Imamura, Roland Wedekind, Isobel D Stewart, Maik Pietzner, Eleanor Wheeler, Nita G Forouhi, Claudia Langenberg, Augustin Scalbert, Nicholas J Wareham

Registry-linked trialOpen access · hybridAbstract readObservational StudyRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03354130 (Intervention Study to Identify Biomarkers of Processed Meat Intake), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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.

NCT03354130 nacompletednot on this map

Intervention Study to Identify Biomarkers of Processed Meat Intake

TypeinterventionalSponsorInternational Agency for Research on CancerRan2017 to 2018Enrolled12ConditionsBiomarkers of Processed Meat Intake in Healthy SubjectsArmsProcessed meat dietary intervention
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  11. Recent advances in precision nutrition and cardiometabolic diseases.Revista espanola de cardiologia (English ed.) · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 3 countries.

Chunxiao LiMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Fumiaki ImamuraMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID 0000-0002-6841-8396
Roland WedekindNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.ORCID 0000-0003-1364-7666
Isobel D StewartMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Maik PietznerMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Eleanor WheelerMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Nita G ForouhiMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID 0000-0002-5041-248X
Claudia LangenbergMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Augustin ScalbertNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.ORCID 0000-0001-6651-6710
Nicholas J WarehamMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
University of Cambridge · GBCentre international de recherche sur le cancer · FR

Funding

Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00006/3Medical Research Council MC_UU_12015/1Medical Research Council MR/N003284/1World Health Organization 001
6 · The paper itself

Abstract

backgroundSelf-reported meat consumption is associated with disease risk but objective assessment of different dimensions of this heterogeneous dietary exposure in observational and interventional studies remains challenging.

objectivesWe aimed to derive and validate scores based on plasma metabolites for types of meat consumption. For the most predictive score, we aimed to test whether the included metabolites varied with change in meat consumption, and whether the score was associated with incidence of type 2 diabetes (T2D) and other noncommunicable diseases.

methodsWe derived scores based on 781 plasma metabolites for red meat, processed meat, and poultry consumption assessed with 7-d food records among 11,432 participants in the EPIC-Norfolk (European Prospective Investigation into Cancer and Nutrition-Norfolk) cohort. The scores were then tested for internal validity in an independent subset (n = 853) of the same cohort. In focused analysis on the red meat metabolite score, we examined whether the metabolites constituting the score were also associated with meat intake in a randomized crossover dietary intervention trial of meat (n = 12, Lyon, France). In the EPIC-Norfolk study, we assessed the association of the red meat metabolite score with T2D incidence (n = 1478) and other health endpoints.

resultsThe best-performing score was for red meat, comprising 139 metabolites which accounted for 17% of the explained variance of red meat consumption in the validation set. In the intervention, 11 top-ranked metabolites in the red meat metabolite score increased significantly after red meat consumption. In the EPIC-Norfolk study, the red meat metabolite score was associated with T2D incidence (adjusted HR per SD: 1.17; 95% CI: 1.10, 1.24).

conclusionsThe red meat metabolite score derived and validated in this study contains metabolites directly derived from meat consumption and is associated with T2D risk. These findings suggest the potential for objective assessment of dietary components and their application for understanding diet-disease associations.The trial in Lyon, France, was registered at clinicaltrials.gov as NCT03354130.

Indexed as

Diabetes Mellitus, Type 2Red MeatCohort StudiesDietHumansMeatProspective StudiesRisk Factorsbiomarkerdiabetesmeatmetabolomicsprediction

Identifiers

PMID35754192
PMCPMC9348983
OpenAlexW4225819568

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.