Evidence map›Paper›PMID 40510688›Full record

ArticleClinical kidney journal2025

Efficacy and safety of finerenone in obesity-related glomerulopathy.

Dan-Dan Qiu, Jing Liu, Rui-Han Chen, Feng Zhang, Yu An, Song Jiang

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. 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. Review
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  3. 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

6 authors.

Dan-Dan QiuNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Jing LiuNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Rui-Han ChenNational Clinical Research Center for Kidney Diseases, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China.
Feng ZhangNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Yu AnNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.ORCID https://orcid.org/0000-0002-4818-4641
Song JiangNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to evaluate the efficacy and safety of finerenone in the treatment of obesity-related glomerulopathy (ORG). Methods: A retrospective analysis was conducted on 69 patients diagnosed with ORG between January 2022 and July 2023, of whom 30 received finerenone (10-20 mg/day). Results: The cohort had a mean age of 44.30 ± 11.43 years, comprising 54 males. The median body mass index (BMI) was 31.18 (28.89, 33.68) kg/m², the median 24-hour proteinuria level was 1.35 (1.2, 1.86) g/24 h, the mean estimated glomerular filtration rate (eGFR) was 87.39 ± 28.41 ml/min/1.73 m², and the mean serum potassium level was 4.01 ± 0.33 mmol/l. All patients were followed for over 1 year. Compared to the control group, the finerenone group had a lower baseline BMI [29.86 (28.66, 32.91) vs. 31.67 (30.18, 34.56) kg/m², Conclusions: Finerenone is associated with reduced proteinuria, lower blood pressure, and stabilized eGFR in patients with ORG, without a significant increase in adverse events.

Indexed as

efficacyfinerenoneobesity-related glomerulopathysafety

Identifiers

PMID40510688
PMCPMC12160826

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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.