Evidence map›Paper›PMID 40931818›Full record

ArticleCirculation. Genomic and precision medicine2025

Large-Scale Proteomics-Based Risk Score for the Prediction of Incident Cardio-Kidney-Metabolic Disease Risk.

Adithya K Yadalam, Chang Liu, Qin Hui, Alexander C Razavi, Laurence S Sperling, Arshed A Quyyumi, Yan V Sun

Abstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

7 authors.

Adithya K YadalamDivision of Cardiology, Emory University School of Medicine, Atlanta, GA (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).ORCID 0000-0003-3610-4445
Chang LiuDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA (C.L., Q.H., Y.V.S.).ORCID 0000-0002-8918-7224
Qin HuiDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA (C.L., Q.H., Y.V.S.).ORCID 0000-0002-8421-3518
Alexander C RazaviDivision of Cardiology, Emory University School of Medicine, Atlanta, GA (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).ORCID 0000-0002-3213-0876
Laurence S SperlingDivision of Cardiology, Emory University School of Medicine, Atlanta, GA (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).ORCID 0000-0001-9417-6370
Arshed A QuyyumiDivision of Cardiology, Emory University School of Medicine, Atlanta, GA (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).ORCID 0000-0002-8166-679X
Yan V SunDivision of Cardiology, Emory University School of Medicine, Atlanta, GA (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).ORCID 0000-0002-2838-1824

Funding

Spousal Influences on Subclinical and Clinical Vascular and Myocardial DiseaseP01HL154996 · NHLBI · EMORY UNIVERSITY · PI Kabayam M Venkat Narayan, ARSHED A QUYYUMI · 2022 to 2026
$13.4M
Research Trainng in Academic CardiologyT32HL007745 · NHLBI · EMORY UNIVERSITY · PI TAYLOR, WILLIAM ROBERT · 1994 to 2023
$10.6M
Multidisciplinary Research Training to Reduce Inequities in Cardiovascular HealthT32HL130025 · NHLBI · EMORY UNIVERSITY · PI Tené T Lewis, Viola Vaccarino · 2016 to 2026
$6.4M
Multi-omic Predictors of Renal Function among HIV-infected Individuals of African AncestryR01DK125187 · NIDDK · EMORY UNIVERSITY · PI MARCONI, VINCENT CHARLES, SUN, YAN · 2020 to 2024
$4.1M
NHLBI NIH HHS P01 HL154996NHLBI NIH HHS T32 HL007745NHLBI NIH HHS T32 HL130025NIDDK NIH HHS R01 DK125187
6 · The paper itself

Abstract

backgroundCardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.

methodsWe analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by

resultsThe study sample had a mean age of 56.1 years; 44% were men, and 94% were White. Over a median follow-up of 13.5 years, 3235 and 1407 incident CKM disease events occurred in the training and validation cohorts, respectively. A ProtRS based on the weighted sum of the 238 least absolute shrinkage and selection operator-selected proteins was significantly associated with incident CKM disease risk (subdistribution hazard ratio per 1-SD, 1.87 [95% CI, 1.73-2.03];

conclusionsA ProtRS was independently associated with incident CKM disease risk and improved risk prediction beyond traditional risk factors in a population free of CKM disease at baseline.

Indexed as

Cardiovascular DiseasesKidney DiseasesMetabolic DiseasesProteomicsAgedDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicRisk AssessmentRisk Factorscardiovascular riskchronic kidney diseasesdiabetesprecision medicineproteomicsrisk assessment

Identifiers

PMID40931818
PMCPMC12554283

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.