Evidence map›Paper›PMID 41133624›Full record

ArticleProteomes2025

Protein-Predicted Obesity Phenotypes and Cardiovascular Events: A Secondary Analysis of UK Biobank Proteomics Data.

Chang Liu, Bojung Seo, Qin Hui, Peter W F Wilson, Arshed A Quyyumi, Yan V Sun

Abstract read
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In one paragraph

Article in Proteomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Chang LiuDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.ORCID 0000-0002-8918-7224
Bojung SeoDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.ORCID 0000-0001-5619-2476
Qin HuiDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.ORCID 0000-0002-8421-3518
Peter W F WilsonDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.
Arshed A QuyyumiDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.ORCID 0000-0002-8166-679X
Yan V SunDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.ORCID 0000-0002-2838-1824

Funding

Spousal Influences on Subclinical and Clinical Vascular and Myocardial DiseaseP01HL154996 · NHLBI · EMORY UNIVERSITY · PI Shivani A Patel · 2022 to 2026
$13.4M
National Heart Lung and Blood Institute P01HL154996NHLBI NIH HHS P01 HL154996
6 · The paper itself

Abstract

backgroundProteomic profiling may improve the understanding of obesity and cardiovascular risk prediction. This study explores the use of protein-predicted scores for body mass index (PPS

methodsWe used data from the UK Biobank with proteome profiling. PPS

resultsStrong to moderate correlations were observed between protein-predicted obesity phenotypes and their measured counterparts (R

conclusionProtein-predicted scores of obesity showed strong independent associations and predictive performance for MACEs, suggesting they may capture additional biological risk beyond anthropometry. These scores may complement existing risk models by providing a biologically informed approach to assessing obesity-related cardiovascular risk and improving risk stratification.

Indexed as

MACEobesitypredictionproteomics

Identifiers

PMID41133624
PMCPMC12551110

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