Evidence mapPaperPMID 42069979Full record

ArticleInternational urology and nephrology2026

Safety evaluation of finerenone and identification of factors contributing to nephrotoxicity: re-analysis using FDA adverse event reporting system data.

Chunhui Du, Zhenyu Zhao

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Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

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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

1 citing paper in PubMed.

  1. On interpreting renal safety signals with finerenone in FAERS.International urology and nephrology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Chunhui DuDepartments of Pharmacy, NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, 300134, China.
Zhenyu ZhaoDepartments of Pharmacy, NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, 300134, China. zhaozhenyu@tmu.edu.cn.

Funding

Tianjin Key Medical Discipline Construction Project TJYXZDXK-3-007B
6 · The paper itself

Abstract

backgroundTo evaluate finerenone-associated adverse events (AEs) and to investigate the association between finerenone use and renal injury via data mining of the Food and Drug Administration Adverse Event Reporting System (FAERS).

methodsTo minimize statistical bias, the data extraction period was set from database inception (2004) to provide a stable background for disproportionality analysis. Four disproportionality algorithms (ROR, PRR, BCPNN, and MGPS) and stricter case-screening methods were employed to improve analytical precision. Additionally, a clinical priority evaluation was conducted to rank clinical risks and surveillance levels for these AEs. Supplementary analysis was performed to assess the relationship between finerenone and renal injury, as well as associated risk factors.

resultsA total of 1316 finerenone-related reports were identified. 30 AEs were detected as significantly positive signals, with most being related to renal function (15 PTs, 50%), blood pressure (5 PTs, 16.67%), and blood potassium (4 PTs, 13.33%). Among them, blood glucose increased, blood creatine increased, and flank pain were new potential AEs. Acute kidney injury, hyperkalemia, renal impairment, glomerular filtration rate decreased, blood creatinineincreased, blood potassium increased, and hyponatremia exhibited moderate clinical priority levels and warrant further study. Signals reflecting renal injury were detected in patients regardless of baseline nephropathy. Male sex, taking more than 3 drugs, and using amlodipine may be risk factors for finerenone-related nephrotoxicity.

conclusionsThese results highlight new finerenone-related AEs, provide ranked guidance for pharmacovigilance through clinical priority evaluation, and clarify factors that influence renal injury, providing guidance for individualized treatment and improved drug safety.

Indexed as

Clinical prioritizationDisproportionalityFinerenoneRenal injury

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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 Socratic graph.