Evidence map›Paper›PMID 39759441›Full record

ArticleJACC. Advances2025

United States Pooled Cohort Cardiovascular Disease Risk Scores in Adults With Diabetes Mellitus.

Yanglu Zhao, Ralph B D'Agostino, Shaista Malik, Karol E Watson, Alain G Bertoni, Matthew J Budoff, Loretta Cain, Adolfo Correa, Aaron R Folsom, David R Jacobs and 2 more

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Article in JACC. Advances, 2025. 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
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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

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

12 authors.

Yanglu ZhaoDepartment of Epidemiology, University of California, Los Angeles, California, USA.
Ralph B D'AgostinoDepartment of Biostatistics, Boston University, Boston, Massachusetts, USA.
Shaista MalikMary and Steve Wen Cardiovascular Division, Department of Medicine, University of California-Irvine, Irvine, California, USA.
Karol E WatsonDepartment of Epidemiology, University of California, Los Angeles, California, USA.
Alain G BertoniDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Matthew J BudoffDivision of Cardiology, Lundquist Institute, Torrance, California, USA.
Loretta CainDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Adolfo CorreaDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Aaron R FolsomDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
David R JacobsDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Elizabeth SelvinDepartment of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Nathan D WongDepartment of Epidemiology, University of California, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is significant heterogeneity in cardiovascular disease (CVD) risk among patients with diabetes mellitus (DM). Objectives: The purpose of this study was to develop risk scores for total CVD and its components from a contemporary pooled, observational cohort of U.S. adults with DM. Methods: CVD-free adults with DM aged 40 to 79 years were pooled from 4 U.S. population-based cohorts (CARDIA [Coronary Artery Risk Development in Young Adults], Framingham Offspring, Jackson Heart Study, and the MESA (Multiethnic Study of Atherosclerosis) studied since 2000. Baseline DM-specific and non-DM-specific CVD risk factors were evaluated as predictors. We developed 10-year DM Risk Scores (DMRS) for total CVD, atherosclerotic CVD (ASCVD), coronary heart disease (CHD), heart failure (HF) and stroke. Score performance was validated internally and externally. Results: We included 2,174 adults with DM mean age 59.2 ± 10.5 years, 55.4% female and 47.5% Black followed up to 10 years. Age, sex, HbA1c, creatinine, systolic blood pressure, DM medication, and smoking were the most important predictors. The DMRS had good internal discrimination (c-statistics 0.72, 0.72, 0.72, 0.79 and 0.73 for CVD, ASCVD, CHD, HF, and stroke) and calibration (calibration slopes 0.93, 0.95, 0.93, 0.98, and 0.89 for CVD, ASCVD, CHD, HF, and stroke; Greenwood Nam-D'Agostino calibration tests were significant for CHD ( Conclusions: Our U.S. pooled cohort DMRS for predicting CVD events demonstrated good predictive performance for assessing CVD risk in adults with DM.

Indexed as

cardiovascular diseasediabetes mellitusrisk factorsrisk predictionrisk scores

Identifiers

PMID39759441
PMCPMC11699612

What Socratic 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 Socratic graph.