ABSTRACT
INTRODUCTION: Dapagliflozin, a new treatment option for heart failure, leads to a significant reduction in the hospitalization of patients with heart failure. We aimed to review studies on the economic evaluation of adding dapagliflozin to standard care compared with standard care alone in heart failure patients with reduced ejection fraction (HFrEF). METHODS: For this systematic review, the PubMed, EMBASE, Web of Science, Cochrane, Scopus, and CEA Registry scientific databases were searched from 1 January 2020 to 25 March 2022. Two of the present researchers screened titles and abstracts, extracted data from full-text articles, and evaluated their quality using the Quality of Health Economic Studies (QHES) checklist for the quality assessment of health economic studies. RESULTS: Of the 456 abstracts screened, 19 studies met the inclusion criteria. The mean QHES score for the studies was 0.87 (high quality). Eight studies on cost-effectiveness analysis, ten studies on cost-utility analysis, and one study on cost-minimization analysis were conducted. Based on the available evidence and the present findings, the addition of dapagliflozin to standard care in patients with HFrEF was cost effective in most countries. CONCLUSIONS: Based on the results of the present study, the addition of dapagliflozin to standard care in patients with HFrEF was cost effective. More studies investigating the cost effectiveness of dapagliflozin in patients with HFrEF are required in light of the actual epidemiological data of countries in the relevant input parameters. It is also recommended to conduct cost-effectiveness studies of dapagliflozin taking into account costs and benefits from a societal perspective.
Subject(s)
Cost-Effectiveness Analysis , Heart Failure , Humans , Stroke Volume , Cost-Benefit AnalysisABSTRACT
In recent years, massively parallel sequencing or next generation sequencing (NGS) has considerably changed both the research and diagnostic fields, and rapid developments have led to the combination of NGS techniques in clinical practice, ease of analysis, and detection of genetic mutations. This article aimed at reviewing the economic evaluation studies of the NGS techniques in the diagnosis of genetic diseases. In this systematic review, scientific databases (PubMed, EMBASE, Web of Science, Cochrane, Scopus, and CEA registry) were searched from 2005 to 2022 to identify the related literature on the economic evaluation of NGS techniques in the diagnosis of genetic diseases. Full-text reviews and data extraction were all performed by two independent researchers. The quality of all the articles included in this study was evaluated using the Checklist of Quality of Health Economic Studies (QHES). Out of 20 521 screened abstracts, 36 studies met the inclusion criteria. The mean score of the QHES checklist for the studies was 0.78 (high quality). Seventeen studies were conducted based on modeling. Cost-effectiveness analysis, cost-utility analysis, and cost-minimization analysis were done in 26 studies, 13 studies, and 1 study, respectively. Based on the available evidence and findings, exome sequencing, which is one of the NGS techniques, could have the potential to be used as a cost-effective genomic test to diagnose children with suspected genetic diseases. The results of the present study support the cost-effectiveness of exome sequencing in diagnosing suspected genetic disorders. However, the use of exome sequencing as a first- or second-line diagnostic test is still controversial. Most studies have been conducted in high-income countries, and research on the cost-effectiveness of NGS methods is recommended in low- and middle-income countries.
