Evidence map›Paper›PMID 40321822›Full record

SynthesisPeerJ2025

Prognostic impact of serum interleukin-6 and 17 level in patients with bladder cancer: a systematic review and meta-analysis.

Liang Liu, Jun-Hui He, Yu Xiao, Dong Wei

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2025. 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

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

1 citing paper in PubMed.

  1. Association ofInternational journal of molecular sciences · 2026
    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.

Liang LiuDepartment of Urology, Baoding No.1 Central Hospital, Baoding, Hebei, China.ORCID 0000-0003-1372-4596
Jun-Hui HeDepartment of Urology, Heze Municipal Hospital, Heze, Shandong, China.
Yu XiaoPsychosomatic Medical Center, The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China.
Dong WeiDepartment of Urology, Hebei General Hospital, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Interleukin, a noninvasive biomarker, holds huge potential for providing valuable insights into the management of inflammatory conditions and tumor diseases. This systematic review and meta-analysis aimed to evaluate the prognostic role of interleukin in bladder cancer (BCa) patients. Methods: A comprehensive search of six English and Chinese databases (PubMed, Embase, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Wanfang, and Chinese Biomedical Literature Service System) was conducted from inception to July 10, 2024. Studies investigating the association between serum interleukin levels and BCa were included. Outcome measures encompassed disease-free survival (DFS), overall survival (OS), and disease-specific survival (DSS). Statistical analyses were performed using RevMan 5.4.1, employing random or fixed-effects models as appropriate. Sensitivity, subgroup, and descriptive analyses were also conducted. Results: A total of seven studies involving 1,505 patients were included. Four studies reported the association between serum interleukin-6/17 (IL-6/17) and OS in BCa. Patients with elevated serum IL levels exhibited a worse OS (HR = 2.28; 95% CI [1.03-5.05]; Conclusion: This meta-analysis demonstrates a strong association between serum interleukin levels and survival outcomes in BCa, suggesting that serum interleukin testing may be a valuable clinical tool for predicting patient outcomes and guiding treatment decisions.

Indexed as

Interleukin-17Interleukin-6Urinary Bladder NeoplasmsBiomarkers, TumorDisease-Free SurvivalHumansPrognosisBiomarkers, TumorIL6 protein, humanInterleukin-17Interleukin-6Bladder cancerInterleukin-17Interleukin-6Meta-analysisSystematic reviewUrinary bladder neoplasms

Identifiers

PMID40321822
PMCPMC12047212

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.