Evidence map›Paper›PMID 40826950›Full record

ArticleDiabetes, obesity & metabolism2025

Gender differences in the prescription of SGLT2 inhibitors in chronic kidney disease: A real-world database study.

Tatsuhiko Azegami, Hidehiro Kaneko, Akira Okada, Yuta Suzuki, Kazuki Aoyama, Takashin Nakayama, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Takashi Yokoo and 5 more

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

15 authors.

Tatsuhiko AzegamiDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Hidehiro KanekoDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-2553-6170
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yuta SuzukiDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Kazuki AoyamaDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Takashin NakayamaDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
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.
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Koichi NodeDepartment of Cardiovascular Medicine, Saga University, Saga, Japan.ORCID 0000-0002-2534-0939
Masaomi NangakuDivision of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, 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

Ministry 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 23AA2003
6 · The paper itself

Abstract

aimsChronic kidney disease (CKD) is a growing global health concern, and sodium-glucose cotransporter 2 (SGLT2) inhibitors have emerged as a key treatment strategy. While their kidney-protective effects are well established in both genders, women are prescribed these agents less frequently than men for the treatment of type 2 diabetes worldwide. However, data on gender differences in SGLT2 inhibitor prescriptions for CKD remain limited. MATERIALS AND

methodsThis retrospective cohort study examined gender disparities in SGLT2 inhibitor prescriptions among individuals with CKD using a large-scale real-world database in Japan. Prescription claims data were extracted from health insurance claims records, and baseline clinical characteristics were obtained from health check-up records. CKD was defined as an eGFR <60 mL/min/1.73 m

resultsFollowing the approval of SGLT2 inhibitors for CKD in late August 2021, the proportion of prescriptions increased from 0.86% to 2.10% in men and from 0.34% to 0.88% in women from September 2021 to February 2023. Multivariable logistic regression analysis identified being a woman as an independent risk factor for lower SGLT2 inhibitor prescriptions (odds ratio 0.58, 95% confidence intervals 0.55-0.62). These findings were consistent across stratified and sensitivity analyses.

conclusionsPersistent gender disparities in SGLT2 inhibitor prescriptions highlight the need for healthcare providers worldwide to recognise potential gender biases and ensure equitable access to evidence-based CKD therapies. Addressing gender-based disparities is crucial for optimising CKD management globally.

Indexed as

Diabetes Mellitus, Type 2Drug PrescriptionsPractice Patterns, Physicians'Renal Insufficiency, ChronicSodium-Glucose Transporter 2 InhibitorsAdultAgedDatabases, FactualDiabetic NephropathiesFemaleHumansJapanMaleMiddle AgedRetrospective StudiesSex FactorsSodium-Glucose Transporter 2 Inhibitorscohort studydiabetic nephropathypharmaco‐epidemiologypopulation studyreal‐world evidenceSGLT2 inhibitor

Identifiers

PMID40826950
PMCPMC12515789

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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.