Evidence map›Paper›PMID 41177923›Full record

ArticleDiabetes, obesity & metabolism2026

Evolving trends of antidiabetic agents stratified by age, kidney function and body mass index: Insights from a nationwide claims database.

Kazuki Aoyama, Akira Okada, Hidehiro Kaneko, Tatsuhiko Azegami, Yuta Suzuki, Shu Meguro, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Koichi Node and 5 more

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

15 authors.

Kazuki AoyamaDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6480-3388
Hidehiro KanekoDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-2553-6170
Tatsuhiko AzegamiDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Yuta SuzukiDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Shu MeguroDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-3528-128X
Katsuhito FujiuDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Norifumi TakedaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Hiroyuki MoritaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Koichi NodeDepartment of Cardiovascular Medicine, Saga University, Saga, Japan.ORCID 0000-0002-2534-0939
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Norihiko TakedaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Kaori HayashiDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.

Funding

Japan Association for Diabetes Education and Care 2024-YNG-031Ministry of Education, Culture, Sports, Science and Technology, Japan 20H03907Ministry of Education, Culture, Sports, Science and Technology, Japan 21H03159Ministry of Education, Culture, Sports, Science and Technology, Japan 21K08123Ministry of Health, Labour and Welfare, Japan 23AA2003
6 · The paper itself

Abstract

aimsTo analyse prescribing trends in antidiabetic agents stratified by background characteristics among individuals with type 2 diabetes. MATERIALS AND

methodsThis retrospective study used a large-scale database between 2015 and 2024 in Japan. Adults with type 2 diabetes receiving at least one antidiabetic prescription were included, and annual prescription rates were assessed by drug class. Trends were evaluated overall and stratified by age, sex, heart failure (HF) status, estimated glomerular filtration rate (eGFR), body mass index, haemoglobin A1c and clinical setting, because these factors are important determinants of efficacy and safety in prescribing antidiabetic agents.

resultsSodium-glucose cotransporter 2 inhibitors (SGLT2i) prescriptions showed a marked increase, rising from 4.1% (95% confidence interval [CI], 4.0%-4.2%) in 2015 to 38.9% (95% CI, 38.7%-39.0%) in 2024. Particularly high prescription rates were seen in individuals aged <65 years, with HF, eGFR <30 mL/min/1.73 m

conclusionsIn this large-scale analysis, SGLT2i use increased substantially across diverse individual traits, supporting their integration into diverse clinical contexts in real-world practice. Our findings may provide valuable insights into diabetes care in the forthcoming era of super-aged societies.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsPractice Patterns, Physicians'AdultAgedAged, 80 and overAge FactorsBody Mass IndexDatabases, FactualFemaleGlomerular Filtration RateGlycated HemoglobinHumansJapanKidneyMaleGlycated HemoglobinHypoglycemic AgentsSodium-Glucose Transporter 2 Inhibitorsantidiabetic drugpharmaco‐epidemiologyreal‐world evidencetype 2 diabetes

Identifiers

PMID41177923
PMCPMC12673422

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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.