Evidence map›Paper›PMID 41440833›Full record

ArticleJournal of cardiovascular development and disease2025

Enhanced Risk Prediction for Coronary Heart Disease by Leveraging Polygenic Risk Score and Clinical Risk Score in European Hypertensive Adults.

Siyuan Shen, Yuquan Wang, Yue-Qing Hu

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 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
–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

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

3 authors.

Siyuan ShenState Key Laboratory of Genetics and Development of Complex Phenotypes, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai 200438, China.
Yuquan WangState Key Laboratory of Genetics and Development of Complex Phenotypes, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai 200438, China.
Yue-Qing HuState Key Laboratory of Genetics and Development of Complex Phenotypes, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai 200438, China.

Funding

National Key R&D Program of China 2023YFF1205101
6 · The paper itself

Abstract

backgroundCoronary heart disease (CHD) is the leading cause of premature mortality. The incremental value of a polygenic risk score (PRS) to a clinical risk score towards improving CHD prediction is controversial. Meanwhile, the effect of PRSs on CHD prediction in the chronic disease population is unclear.

methodsUtilizing publicly available summary statistical data, we developed several PRSs using the genome data of European ancestry from the Atherosclerosis Risk in Communities Study. Furthermore, we investigated the association of CHD with the best-performing PRS in both the overall and chronic disease cohorts. Additionally, we evaluated whether adding the best-performing PRS to the clinical risk score improves risk prediction.

resultsA total of 6152 subjects (767 CHD cases) were included in this study. The high values from the developed best-performing PRS were significantly associated with an increased risk of CHD, with a stronger association in the hypertensive population (interaction

conclusionsCompared to the clinical risk score, integrating the PRS significantly improved CHD prediction and better identified CHD risk trajectories, especially in the European hypertensive adult population.

Indexed as

coronary heart diseasehypertensionpolygenic risk scorerisk factors

Identifiers

PMID41440833
PMCPMC12734198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.