Evidence map›Paper›PMID 42871556›Full record

ArticleMedical journal of the Islamic Republic of Iran2026

Diabetes Status and the Association Between a Coronary Artery Disease Polygenic Risk Score and Incident Coronary Artery Disease in an Iranian Prospective Cohort.

Farzad Maleki, Mahdi Akbarzadeh, Siamak Sabour, Leila Najd-Hassan-Bonab, Hossein Lanjanian, Maryam Sadat Daneshpour, Ali Delpisheh

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2026. 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

7 authors.

Farzad MalekiDepartment of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahdi AkbarzadehCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Siamak SabourDepartment of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Leila Najd-Hassan-BonabCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hossein LanjanianCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Maryam Sadat DaneshpourCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-1525-8672
Ali DelpishehDepartment of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1537-2806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polygenic risk scores (PRSs) for coronary artery disease (CAD) may provide a quantitative assessment of inherited susceptibility that extends beyond conventional clinical risk factors. However, the relationship between CAD PRS and the incidence of CAD may differ across various cardiometabolic risk groups. This study aimed to evaluate whether baseline diabetes status influences the association between CAD PRS and the incidence of CAD. Methods: This cohort comprised 5,139 adults from the Tehran Cardiometabolic Genetic Study (TCGS) who were free of CAD at baseline. The CAD PRS was constructed using a maximum clumping-and-thresholding approach based on external CAD genome-wide association summary statistics. Associations between the PRS and cumulative incident CAD were assessed according to diabetes status using logistic regression. Model discrimination and prediction error were evaluated using the area under the curve (AUC) and the Brier score. Results: Among 5,139 participants, 1,171 had diabetes while 3,968 did not; incident CAD occurred in 334 diabetic and 427 non-diabetic participants. After adjusting for traditional risk factors, each 1-SD increase in the PRS was associated with higher odds of incident CAD in diabetic participants (OR, 1.36; 95% CI, 1.20-1.55) and non-diabetic participants (OR, 1.27; 95% CI, 1.14-1.41). A significant interaction between PRS quintiles and diabetes status was observed ( Conclusion: CAD PRS was associated with incident CAD across diabetes-defined strata; however, its predictive relevance varied according to baseline diabetes status. These findings support the use of PRS as a marker of inherited susceptibility rather than as evidence for clinical risk reclassification or as a stand-alone predictive tool.

Indexed as

Coronary artery diseaseDiabetes mellitusIranPolygenic risk scoreTLGS

Identifiers

PMID42871556
PMCPMC13659730

What OpenQuestion holds

Textmetadata
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.