Evidence map›Paper›PMID 39574422›Full record

ArticleBMJ medicine2024

Sodium-glucose co-transporter-2 inhibitors in patients with chronic kidney disease with or without type 2 diabetes: systematic review and meta-analysis.

Xinyu Zou, Qingyang Shi, Per Olav Vandvik, Yunhe Mao, Arnav Agarwal, Belen Ponte, Xiaoxi Zeng, Gordon Guyatt, Qinbo Yang, Xianghang Luo and 5 more

Abstract read
In one paragraph

Article in BMJ medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. The Gut-Kidney Axis in Chronic Kidney Diseases.Diagnostics (Basel, Switzerland) · 2024
    Review
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.

Xinyu ZouDepartment of Endocrinology and Metabolism, MAGIC China Centre, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Qingyang ShiDepartment of Endocrinology and Metabolism, MAGIC China Centre, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Per Olav VandvikDepartment of Medicine, Lovisenberg Diaconal Hospital, Oslo, Norway.
Yunhe MaoSports Medicine Centre, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Arnav AgarwalDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-0931-7851
Belen PonteService of Nephrology and Hypertension, Geneva University Hospitals, Geneve, Genève, Switzerland.
Xiaoxi ZengDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Gordon GuyattDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0003-2352-5718
Qinbo YangDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Xianghang LuoDepartment of Endocrinology, Endocrinology Research Centre, Xiangya Hospital Central South University, Changsha, Hunan, China.
Chang XuProof of Concept Centre, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, Shanghai, China.ORCID 0000-0002-2627-1250
Ping FuDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Haoming TianDepartment of Endocrinology and Metabolism, MAGIC China Centre, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Thomas AgoritsasDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Sheyu LiDepartment of Endocrinology and Metabolism, MAGIC China Centre, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-0060-0287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine cardiovascular and kidney benefits and harms of sodium-glucose co-transporter-2 (SGLT-2) inhibitors stratified by risk in adults with chronic kidney disease regardless of diabetes status. Design: Systematic review and meta-analysis. Data sources: Ovid Medline, Embase, and Cochrane Central from database inception to 15 June 2024. Eligibility criteria for selecting studies: Randomised controlled trials that compared SGLT-2 inhibitors with placebo or standard care with no SGLT-2 inhibitors in adults with chronic kidney disease with a follow-up duration of ≥12 weeks were eligible. Secondary analyses based on subpopulations from randomised controlled trials and publications not in English language were excluded. Data synthesis: Random effects meta-analyses were conducted, with effect estimates presented as risk ratios with 95% confidence intervals (CIs). Absolute treatment effects were estimated over a five year duration for individuals with varied risks of cardiovascular and kidney complications based on the Kidney Disease Improving Global Outcomes (KDIGO) risk stratification system. Certainty of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach. Results: Evidence from 13 randomised controlled trials (29 614 patients) informed treatment effect estimates. In relative terms, SGLT-2 inhibitors reduced all cause death (risk ratio 0.85 (95% CI 0.74 to 0.98)), cardiovascular death (0.84 (0.74 to 0.96)), kidney failure (0.68 (0.60 to 0.77)), non-fatal stroke (0.73 (0.57 to 0.94)), non-fatal myocardial infarction (0.75 (0.60 to 0.93)), and admission to hospital for heart failure (0.68 (0.60 to 0.78)). No credible subgroup effects were found from diabetes status, heart failure status, estimated glomerular filtration rate, urinary albumin-to-creatinine ratio, and follow-up duration. Absolute effect estimates across these outcomes over a five year period varied across risk groups based on baseline risks of cardiovascular and kidney events. Effects of SGLT-2 inhibitors in the group at low risk included seven fewer all- cause deaths, four fewer admissions to hospital for heart failure per 1000 individuals, and no effects on kidney failure. Effects in the higher risk group included 48 fewer all cause deaths, 58 fewer kidney failures, and 25 fewer admissions to hospital for heart failure per 1000 individuals. Although SGLT-2 inhibitor use was associated with a relative increase in the risk of harms, including genital infection (2.66 (95% CI 2.07 to 3.42)), ketoacidosis (2.27 (1.30 to 3.95)), and symptomatic hypovolaemia (1.29 (1.15 to 1.44)), absolute differences for all harm outcomes were small. Conclusions: Among people who have chronic kidney disease either with type 2 diabetes or not, SGLT-2 inhibitors improved cardiovascular and kidney outcomes with varying degrees of absolute benefit depending on an individual's baseline risks of cardiovascular and kidney-related sequelae. Absolute benefits and harms stratified by risk and associated with SGLT-2 inhibitors should inform individual decision making at the patient level. Systematic review registration: PROSPERO CRD42022325483.

Indexed as

Chronic kidney failureDiabetes mellitusDrug treatmentEndocrinology

Identifiers

PMID39574422
PMCPMC11579537

What OpenQuestion holds

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Registered trials

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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.