Evidence map›Paper›PMID 40299278›Full record

ArticleAdvances in therapy2025

Cost-Effectiveness Analysis of SGLT2 Inhibitors for Cardio-Renal-Metabolic Disease Based on Data from Japanese Studies.

Ataru Igarashi, Hisateru Tachimori, Keiko Maruyama-Sakurai, Yasumasa Segawa, Hiroyuki Takagi, Hiroki Akiyama, Naohiko Imai, Shun Kohsaka, Hiroaki Miyata

Abstract read
In one paragraph

Article in Advances in therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Ataru IgarashiDepartment of Health Economics and Outcomes Research, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. atarui1@mac.com.ORCID http://orcid.org/0000-0001-6307-6916
Hisateru TachimoriDepartment of Health Policy and Management, Keio University School of Medicine, Tokyo, Japan.
Keiko Maruyama-SakuraiDepartment of Health Policy and Management, Keio University School of Medicine, Tokyo, Japan.
Yasumasa SegawaDepartment of Health Policy and Management, Keio University School of Medicine, Tokyo, Japan.
Hiroyuki TakagiCardiovascular, Renal, and Metabolism, BioPharmaceuticals Medical, AstraZeneca, Osaka, Japan.
Hiroki AkiyamaEvidence and Observational Research, Medical, AstraZeneca, Osaka, Japan.
Naohiko ImaiDivision of Nephrology and Hypertension, St. Marianna University Yokohama City Seibu Hospital, Kanagawa, Japan.
Shun KohsakaDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.
Hiroaki MiyataDepartment of Health Policy and Management, Keio University School of Medicine, Tokyo, Japan.

Funding

Program on Open Innovation Platform with Enterprises, Research Institute and Academia JPMJOP1842
6 · The paper itself

Abstract

introductionCardiovascular, renal, and metabolic diseases, collectively known as cardio-renal-metabolic (CRM) disease, interact and exacerbate each other, creating serious clinical and economic burdens. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are important therapeutic agents in managing CRM disease. Despite proven clinical benefits, the economic benefits of SGLT2i in the management of CRM diseases remain unclear.

methodsWe developed Markov models representing the natural progression of disease for two populations: a type 2 diabetes mellitus (T2DM) population and non-diabetic chronic kidney disease (non-DM CKD) population. These models incorporated key complications, including heart failure, myocardial infarction, stroke, CKD (for the T2DM population), and end-stage renal disease. A systematic literature search was conducted to determine input parameters. For each model, we estimated the 10-year medical costs, quality-adjusted life years (QALY), and incremental cost-effectiveness ratio (ICER) for SGLT2i treatment compared with conventional treatment. A probabilistic sensitivity analysis (PSA) and scenario analyses with conservative assumptions were performed.

resultsIn the base-case analysis, SGLT2i treatment was estimated to increase QALY by 0.177 (7.090 vs 6.913 QALY; T2DM population) and 0.457 (6.980 vs 6.523 QALY; non-DM CKD population), and increase total medical costs by Japanese yen (JPY) 99,060 (JPY 762,524 vs 663,463; T2DM population) and JPY 229,810 (JPY 3,378,873 vs 3,149,063; non-DM CKD population), compared with conventional treatment. The ICER was JPY 559,175/QALY in the T2DM population and JPY 503,123/QALY in the non-DM CKD population. The PSA revealed that the probability of ICER being below the threshold value of JPY 5,000,000/QALY was 100% in the T2DM population and 98.7% in the non-DM CKD population, and the ICERs were below this threshold in all scenario analyses.

conclusionSGLT2i treatment was demonstrated to be cost-effective in both the T2DM population and the non-DM CKD population, suggesting the potential of SGLT2i to offer significant clinical and economic benefits in the comprehensive management of CRM diseases.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Renal Insufficiency, ChronicSodium-Glucose Transporter 2 InhibitorsCost-Benefit AnalysisCost-Effectiveness AnalysisEast Asian PeopleFemaleHumansJapanMaleMarkov ChainsMiddle AgedQuality-Adjusted Life YearsSodium-Glucose Transporter 2 InhibitorsCardio-renal-metabolic (CRM) diseasesCardiovascular diseaseChronic kidney diseaseCost-effectivenessSodium–glucose cotransporter 2 inhibitorsType 2 diabetes mellitus

Identifiers

PMID40299278
PMCPMC12085348

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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.