Evidence map›Paper›PMID 40309442›Full record

ArticleFrontiers in endocrinology2025

Baseline comorbidity of cardiovascular-kidney-metabolic syndrome increases the risk of adverse clinical outcomes in patients with chronic kidney disease.

Jiali Meng, Wen Li, Wenjing Fu, Aihua Zhang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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. Article
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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

4 authors.

Jiali MengDepartment of Nephrology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wen LiDepartment of Nephrology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wenjing FuDepartment of Nephrology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Aihua ZhangDepartment of Nephrology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Our study aims to analyze the relationship between different stage of Cardiovascular-Kidney-Metabolic (CKM) Syndrome in Chronic Kidney Disease (CKD) patients and the risk of progression to all-caused mortality or end-stage renal disease (ESRD). Methods and results: A retrospective cohort study was performed by collecting baseline data of CKD patients. All participants were followed throughout the course of the study. Cox proportional hazards analysis and Fine-Gray subdistribution model was performed to analyze the prognostic value of different CKM stages on the risk of adverse clinical outcomes (all-caused mortality or progression to ESRD) of these patients. 1,358 patients finally completed the follow-up. Among them, 1,233 patients were alive, and 125 patients had died; and 163 patients progressed to ESRD. Baseline CKM stage 3 (OR=3.906, 95% CI=0.988-16.320, p=0.048) and stage 4 (OR=5.728, 95% CI=1.329-24.698, p=0.019) remain independent risk factors for all-cause mortality in CKD patients, while CKM stage 2b (OR=2.739, 95% CI=1.157-6.486, p=0.022) were identified as having an independent risk factor for progression to ESRD in CKD patients by adjusting confounding factors. Conclusion: Our research demonstrated that a high-risk CKM stage can predict adverse clinical outcomes in CKD patients, including all-cause mortality and progression to ESRD.

Indexed as

Cardiovascular DiseasesKidney Failure, ChronicMetabolic SyndromeRenal Insufficiency, ChronicAdultAgedComorbidityDisease ProgressionFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk Factorsall-caused mortalitycardiovascular-kidney-metabolic syndrome (CKM)chronic kidney diseaseend-stage renal disease (ESRD)metabolic disease (MD)

Identifiers

PMID40309442
PMCPMC12040642

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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.