Evidence map›Paper›PMID 41522206›Full record

ArticleJournal of diabetes and metabolic disorders2026

GLP-1 receptor agonists in kidney transplant recipients with type 2 diabetes mellitus: a systematic review and meta-analysis on mortality and major adverse kidney events.

Turkan Aliyeva, Julia Natche, Enyinnaya Calistus Jiakponna, Feras Ahmad, Belinda Eze, Usama Hassan Nawaz, Imane El-Amri, Sheelu Shrestha

Abstract read
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Article in Journal of diabetes and metabolic disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Turkan AliyevaDepartment of Internal Medicine, Koç University Hospital, Istanbul, Turkey.
Julia NatcheDepartment of Public Health, Australian Catholic University, Fitzroy , Australia.
Enyinnaya Calistus JiakponnaFaculty of Medicine, University of Medicine and Health Sciences, Basseterre , Saint Kitts and Nevis.
Feras AhmadFaculty of Medicine, Mutah University, Mutah, Karak, Jordan.
Belinda EzeFaculty of Medicine, St Georges Medical Centre, London, UK.
Usama Hassan NawazFaculty of Medicine, Allama Iqbal Medical College, Lahore, Pakistan.
Imane El-AmriDepartment of Medicine and Surgery, Wenzhou Medical University, Wenzhou, China.
Sheelu ShresthaNobel Medical College and Teaching Hospital, Biratnagar, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are increasingly used in patients with type 2 diabetes mellitus and chronic kidney disease. However, their safety and efficacy in kidney transplant recipients remain uncertain. This study aims to evaluate the impact of GLP-1 RAs on all-cause mortality, major adverse cardiovascular events (MACE), and major adverse kidney events (MAKE) in adult kidney transplant recipients. Methods: We conducted a systematic review and meta-analysis of retrospective cohort studies reporting outcomes in adult kidney transplant recipients treated with GLP-1 RAs. A comprehensive search of PubMed, Embase and Cochrane Library was performed up to July 2025. Studies were included if they reported on at least one of the following outcomes: all-cause mortality, MACE, or MAKE. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model. Results: A total of four retrospective cohort studies involving 27,153 were included. A total of 5,479 (20.2%) patients received GLP-1 RAs. The median follow-up period across studies ranged from 1.38 to 3.1 years. GLP-1 RAs treatment was associated with a significant reduction in all-cause mortality, with an aHR of 0.52 (95% CI: 0.32-0.85, I² = 86%; Conclusions: In kidney transplant recipients with type 2 DM, GLP-1 RAs appear to be associated with reduced risks of all-cause mortality and MAKEs. However, given the high heterogeneity across studies and the influence of a single large cohort, these findings should be interpreted with caution and considered exploratory. Prospective studies are needed to confirm the long-term safety and efficacy of GLP-1 RAs in this population. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-025-01801-7.

Indexed as

GLP-1 RAsKidney transplantationMACEMAKEMortality

Identifiers

PMID41522206
PMCPMC12783420

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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.