Evidence map›Paper›PMID 38929788›Full record

ArticleJournal of personalized medicine2024

Evaluation of Polygenic Risk Scores for Prediction of Coronary Artery Disease in a Greek Case-Control Study.

Maria Dimitriou, Panagiotis Moulos, Ioanna Panagiota Kalafati, Georgia Saranti, Loukianos S Rallidis, George V Dedoussis

Abstract read
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In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Maria DimitriouDepartment of Nutritional Science and Dietetics, School of Health Science, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece.
Panagiotis MoulosInstitute for Fundamental Biomedical Research, Biomedical Sciences Research Center 'Alexander Fleming', 16672 Vari, Greece.ORCID 0000-0002-4199-0333
Ioanna Panagiota KalafatiDepartment of Nutrition and Dietetics, School of Physical Education, Sport Science and Dietetics, University of Thessaly, 42132 Trikala, Greece.ORCID 0000-0001-5572-7491
Georgia SarantiDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Loukianos S RallidisSecond Department of Cardiology, Medical School, National and Kapodistrian University of Athens, Attikon Hospital, 12462 Athens, Greece.ORCID 0000-0002-7349-0309
George V DedoussisDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.ORCID 0000-0002-7798-6221

Funding

Partial financial support for volunteer recruitment in this study was provided by the General Sec-retary of Research and Technology (PENED, 03E∆474)
6 · The paper itself

Abstract

Coronary artery disease (CAD) stands as the most predominant type of cardiovascular disease (CVD). Polygenic risk scores (PRSs) have become essential tools for quantifying genetic susceptibility, and researchers endeavor to improve their predictive precision. The aim of the present work is to assess the performance and the relative contribution of PRSs developed for CVD or CAD within a Greek population. The sample under study comprised 924 Greek individuals (390 cases with CAD and 534 controls) from the THISEAS study. Nine PRSs drawn from the PGS catalog were replicated and tested for CAD risk prediction. PRSs computations were performed in the R language, and snpStats was used to process genotypic data. Descriptive characteristics of the study were analyzed using the statistical software IBM SPSS Statistics v21.0. The effectiveness of each PRS was assessed using the PRS R

Indexed as

CADcase-controlcoronary artery diseaseCVDgeneticsGreekpolygenic risk scorePRSsingle-nucleotide polymorphisms

Identifiers

PMID38929788
PMCPMC11204902

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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 OpenQuestion graph.