Evidence map›Paper›PMID 40497119›Full record

ArticleCirculation reports2025

Reducing the Burden of Heart Failure in Japan With Dapagliflozin - A Cost Offset Model (IMPLICATION HF).

Takuya Kishi, Eriko Kunikane, Hiroyuki Takagi, Jieling Chen, Luis Varela, Asuka Ozaki

Abstract read
In one paragraph

Article in Circulation reports, 2025. 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. Article
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.

Takuya KishiDepartment of Graduate School of Medicine (Cardiology), International University of Health and Welfare Fukuoka Japan.
Eriko KunikaneCardiovascular, Renal and Metabolism, BioPharmaceuticals Medical Affairs, AstraZeneca K.K. Osaka Japan.
Hiroyuki TakagiCardiovascular, Renal and Metabolism, BioPharmaceuticals Medical Affairs, AstraZeneca K.K. Osaka Japan.
Jieling ChenGlobal Market Access and Pricing, BioPharmaceuticals, AstraZeneca Gaithersburg, MD USA.
Luis VarelaGlobal Medical Affairs, BioPharmaceuticals, AstraZeneca Cambridge UK.
Asuka OzakiCardiovascular, Renal and Metabolism, BioPharmaceuticals Medical Affairs, AstraZeneca K.K. Osaka Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dapagliflozin is clinically beneficial in heart failure (HF). However, how these clinical benefits translate into economic burden reduction is unclear. With IMPLICATION HF, we projected the reductions in HF events and costs that would result from dapagliflozin use in Japan using a cost offset model. Methods and Results: The modeled population comprised symptomatic HF patients from the DAPA-HF and DELIVER trials. We compared the event incidences and associated costs between HF treatment with and without dapagliflozin, using the prevalence, event rates, and event costs of HF in Japan from published literature, as well as the treatment effects of dapagliflozin from the pooled meta-analysis of DAPA-HF and DELIVER. The cumulative number of events (HF hospitalization [hHF], cardiovascular [CV] death, and all-cause death) and associated costs (hHF, CV death, total) were projected. Cost offsets were calculated according to the difference in event-related costs between HF treatment with and without dapagliflozin. Dapagliflozin was estimated to prevent 63,770 hHF events (number needed to treat [NNT] 20), 11,613 CV deaths (NNT 108), and 16,141 all-cause deaths (NNT 78), as well as reducing hHF and CV death costs by JPY62.7 billion and JPY16.6 billion, totaling JPY79.3 billion over 1 year in Japan. The sensitivity analyses corroborated these findings. Conclusions: The addition of dapagliflozin to HF treatment is projected to provide economic benefits to the Japanese healthcare system.

Indexed as

CostDapagliflozinDeathHeart failureHospitalization

Identifiers

PMID40497119
PMCPMC12148354

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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.