SynthesisAmerican journal of cardiovascular drugs : drugs, devices, and other interventions2023
Cost Effectiveness of Adding Dapagliflozin to Standard Care in Heart Failure Patients with Reduced Ejection Fraction: A Systematic Review.
Synthesis in American journal of cardiovascular drugs : drugs, devices, and other interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.
- Economic evaluation of sodium-glucose transporter 2 inhibitors compared with glucagon-like peptide 1 receptor agonist for the treatment of type 2 diabetes: a systematic review.European journal of clinical pharmacology · 2026Pooled it
- Cost-effectiveness of dapagliflozin for the treatment of heart failure: a systematic review.Frontiers in pharmacology · 2025Pooled it
- Cost-Effectiveness of Dapagliflozin in Heart Failure with Preserved or Mildly Reduced Ejection Fraction: the DELIVER Trial.Cardiovascular drugs and therapy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
introductionDapagliflozin, 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).
methodsFor 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.
resultsOf 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.
conclusionsBased 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.