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001-es BibID:	BIBFORM107307
035-os BibID:	(cikkazonosító)295 (scopus)85138648829 (wos)000857586100001
Első szerző:	Nasr, Nayla Mohamed Gomaa
Cím:	Prognostic Modelling Studies of Coronary Heart Disease : A Systematic Review of Conventional and Genetic Risk Factor Studies / Nasr Nayla, Soltész Beáta, Sándor János, Adány Róza, Fiatal Szilvia
Dátum:	2022
ISSN:	2308-3425
Megjegyzések:	This study aims to provide an overview of multivariable prognostic modelling studies developed for coronary heart disease (CHD) in the general population and to explore the optimal prognostic model by comparing the models' performance. A systematic review was performed using Embase, PubMed, Cochrane, Web of Science, and Scopus databases until 30 November 2019. In this work, only prognostic studies describing conventional risk factors alone or a combination of conventional and genomic risk factors, being developmental and/or validation prognostic studies of a multivariable model, were included. A total of 4021 records were screened by titles and abstracts, and 72 articles were eligible. All the relevant studies were checked by comparing the discrimination, reclassification, and calibration measures. Most of the models were developed in the United States and Canada and targeted the general population. The models included a set of similar predictors, such as age, sex, smoking, cholesterol level, blood pressure, BMI, and diabetes mellitus. In this study, many articles were identified and screened for consistency and reliability using CHARM and GRIPS statements. However, the usefulness of most prognostic models was not demonstrated; only a limited number of these models supported clinical evidence. Unfortunately, substantial heterogeneity was recognized in the definition and outcome of CHD events. The inclusion of genetic risk scores in addition to conventional risk factors might help in predicting the incidence of CHDs; however, the generalizability of the existing prognostic models remains open. Validation studies for the existing developmental models are needed to ensure generalizability, improve the research quality, and increase the transparency of the study.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk systematic review coronary heart disease prognostic models genetic risk factors conventional risk factors
Megjelenés:	Journal of Cardiovascular Development and Disease. - 9 : 9 (2022), p. 1-21. -
További szerzők:	Soltész Beáta (1987-) (molekuláris biológus) Sándor János (1966-) (orvos-epidemiológus) Ádány Róza (1952-) (megelőző orvostan és népegészségtan szakorvos) Fiatal Szilvia (1978-) (epidemiológus, népegészségügyi szakember)
Pályázati támogatás:	GINOP-2.3.2-15-2016-00005 GINOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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