Evidence map›Paper›PMID 39483246›Full record

ArticleAmerican journal of preventive cardiology2024

Genetic risk score for coronary artery calcification and its predictive ability for coronary artery disease.

Pashupati P Mishra, Binisha H Mishra, Leo-Pekka Lyytikäinen, Sirkka Goebeler, Mika Martiskainen, Emma Hakamaa, Marcus E Kleber, Graciela E Delgado, Winfried März, Mika Kähönen and 2 more

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Pashupati P MishraDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Binisha H MishraDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Leo-Pekka LyytikäinenDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Sirkka GoebelerForensic Medicine, Finnish Institute for Health and Welfare, Helsinki, Finland.
Mika MartiskainenForensic Medicine, Finnish Institute for Health and Welfare, Helsinki, Finland.
Emma HakamaaDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Marcus E KleberVth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
Graciela E DelgadoVth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
Winfried MärzVth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
Mika KähönenFinnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Pekka J KarhunenDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The modest added predictive value of the existing genetic risk scores (GRSs) for coronary artery disease (CAD) could be partly due to missing genetic components, hidden in the genetic architecture of intermediate phenotypes such as coronary artery calcification (CAC). In this study, we investigated the predictive ability of CAC GRS for CAD. Materials and methods: We investigated the association of CAC GRSs with CAD and coronary calcification among the participants in the Ludwigshafen Risk and Cardiovascular Health study (LURIC) ( Results: CAC GRS was significantly associated with CAD in LURIC (OR=1.41, 95 % CI [1.28-1.55]), TVS (OR=1.79, 95 % CI [1.05-3.21]) as well as in TSDS (OR=4.20, 95 % CI [1.74-10.52]). CAC GRS showed strong association with calcification areas in left (OR=1.78, 95 % CI [1.16-2.74]) and right (OR=1.71, 95 % CI [1.98-2.67]) coronary arteries. There was statistically significant added predictive value of the CAC GRS for CAD over the used traditional CVD risk factors (AUC 0.734 vs 0.717, p-value = 0.02). Furthermore, CAC GRS improved the prediction accuracy for CAD when combined with metaGRS. Conclusions: This study showed that CAC GRS is a new risk marker for CAD in three European cohorts, with added predictive value over the traditional CVD risk factors.

Indexed as

Coronary artery calcificationCoronary artery diseaseGenetic risk scorePrediction

Identifiers

PMID39483246
PMCPMC11525111

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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 OpenQuestion graph.