Evidence map›Paper›PMID 40478183›Full record

SynthesisThe Journal of international medical research2025

Association of sST2 with cardiovascular disease in maintenance hemodialysis patients: A systematic review and meta-analysis.

Ze Zhang, Tao Yang, Mengya Zhao, Huaqian Chen

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ze ZhangDepartment of Nephrology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, P. R. China.
Tao YangDepartment of Nephrology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, P. R. China.
Mengya ZhaoDepartment of Cardiology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, P. R. China.
Huaqian ChenDepartment of Nephrology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, P. R. China.ORCID 0009-0009-3997-2759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundPrevious studies have shown that soluble growth-stimulated expression gene 2 protein (sST2) plays a significant role in the progression of maintenance hemodialysis. However, the relationship between sST2 and cardiovascular events in maintenance hemodialysis patients remains largely understudied.MethodThis study systematically searched PubMed, Wanfang, and other Chinese and English databases for all published studies on sST2 in maintenance hemodialysis. Relevant literature meeting the requirements was screened, and relevant data were extracted accordingly. The Newcastle-Ottawa Scale was used to evaluate the quality of the selected studies. Publication bias was assessed via funnel plots and Egger's test. A meta-analysis was performed using either a random-effects or fixed-effects model, as appropriate.ResultsA total of 10 high-quality studies were included in this study, with no significant publication bias. The meta-analysis revealed that sST2 level was associated with the incidence of cardiovascular events in maintenance hemodialysis patients (mean difference = 18.89, 95% confidence interval: 13.93-23.84; p

Indexed as

Cardiovascular DiseasesInterleukin-1 Receptor-Like 1 ProteinKidney Failure, ChronicRenal DialysisBiomarkersHumansRisk FactorsBiomarkersIL1RL1 protein, humanInterleukin-1 Receptor-Like 1 Proteincardiovascular diseasechronic kidney diseasemaintenance hemodialysismeta-analysisSoluble growth-stimulated expression gene 2 proteins

Identifiers

PMID40478183
PMCPMC12144340

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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.