Evidence map›Paper›PMID 41211449›Full record

SynthesisFrontiers in oncology2025

Prognostic value of the systemic immune-inflammation index in bladder cancer: an update evidence-based analysis.

Jingxing Bai, Yin Huang, Bo Chen, Biao Ran, Shibo Jian, Jinze Li, Jie Chen, Qian Wei, Dehong Cao, Liangren Liu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 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. 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

10 authors.

Jingxing Bai *Department of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yin Huang *Department of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Bo ChenDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Biao RanDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shibo JianDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jinze LiDepartment of Urology, People's Hospital of Deyang City, Chengdu University of Traditional Chinese Medicine, Deyang, China.
Jie ChenDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qian WeiDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Dehong CaoDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Liangren LiuDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer (BC) prognosis remains challenging to predict accurately with conventional tools. Systemic immune-inflammation index (SII) has emerged as a promising biomarker reflecting the tumor microenvironment. However, existing studies are limited by small sample sizes, heterogeneous designs, and inconsistent endpoints. This updated meta-analysis aims to comprehensively evaluate the association between high SII and key survival outcomes in BC patients. Methods: We systematically searched PubMed, Embase, Web of Science, and Cochrane up to August 2025. Cohort studies reporting hazard ratios (HRs) for overall survival (OS), recurrence-free survival (RFS), progression-free survival (PFS), or cancer-specific survival (CSS) comparing high vs. low SII groups in histologically confirmed BC were included. Study quality was assessed using the Newcastle-Ottawa Scale. Pooled HRs with 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup analyses by pathological type (NMIBC vs. MIBC) and sensitivity analyses were performed. Publication bias was evaluated via funnel plots and Egger's test. Results: Sixteen cohort studies involving 2,352 patients were analyzed. Meta-analysis revealed that elevated SII was significantly associated with worse OS (HR=1.66, 95% CI: 1.30-2.12, P < 0.0001) and RFS (HR=1.50, 95% CI: 1.28-1.76, P < 0.00001), with substantial heterogeneity (OS: I² = 81%; RFS: I² = 59%). Subgroup analysis showed significant predictive value of SII for RFS in both NMIBC (HR=1.55, 95% CI: 1.27-1.89, P < 0.0001; heterogeneity reduced to I² = 37%) and MIBC (HR=1.13, 95% CI: 1.01-1.26, P=0.03). However, OS subgroup associations for NMIBC (HR=1.15, P=0.50) and MIBC (HR=1.92, P=0.07) were non-significant. No significant associations were found for PFS (HR=1.55, 95% CI: 0.92-2.60, P=0.10, I² = 68%) or CSS (HR=1.50, 95% CI: 0.95-2.37, P=0.08, I² = 69%), likely due to limited study numbers (4 and 3, respectively). Significant publication bias was detected for OS and RFS. Conclusion: Elevated SII is significantly associated with poorer overall and recurrence-free survival in bladder cancer patients, particularly highlighting its potential predictive value for recurrence risk in NMIBC. However, significant heterogeneity, publication bias, and retrospective design limitations necessitate caution in interpretation. Future large-scale, prospective studies with standardized SII measurement and dynamic monitoring are crucial to validate its clinical utility and define optimal cut-offs for integration into risk-stratified management strategies. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251145769, Prospero identifier, CRD420251145769.

Indexed as

bladder canceroverall survivalprognostic indicatorsrecurrence-free survivalsystemic immune-inflammation index

Identifiers

PMID41211449
PMCPMC12591970

What OpenQuestion holds

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Registered trials

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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.