Evidence map›Paper›PMID 42712354›Full record

SynthesisFrontiers in medicine2026

Prognostic effect of the preoperative albumin-to-globulin ratio bladder cancer: a meta-analysis.

Fangfang Huang, Changyun Chen, Yan Mao, Tingting Lin, Qianqian Hu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Fangfang HuangDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Changyun ChenDepartment of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yan MaoDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Tingting LinDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Qianqian HuDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The preoperative albumin-to-globulin ratio (AGR) has emerged as a potential prognostic indicator in various malignancies. However, its specific prognostic value in bladder cancer remains to be fully elucidated. Thus, the association between preoperative the AGR and the prognosis of bladder cancer should be systematically evaluated through a meta-analysis of the available evidence. Methods: A systematic search was performed across major electronic databases (PubMed, Embase, and the Cochrane Library) to identify studies reporting the prognostic significance of AGR in bladder cancer. The primary outcomes were overall survival (OS) and progression-free survival (PFS). Hazard ratios (HRs) and 95% confidence intervals (CIs) were pooled to assess the strength of the association. Results: A total of 8 studies involving 8305 patients were included in this meta-analysis. Our pooled results found that a low preoperative AGR was significantly associated with poor CSS (HR = 1.25, 95% CI: 1.11-1.38), PFS (HR = 1.92, 95% CI: 1.35-2.50), RFS (HR = 1.36, 95% CI: 1.09-1.64) compared with a high AGR in patients with bladder cancer. Conclusion: The preoperative AGR is a reliable prognostic factor for bladder cancer, suggesting that it could be integrated into clinical practice for risk assessment.

Indexed as

AGRalbumin-to-globulin ratiobladder cancermeta-analysisprognosis

Identifiers

PMID42712354
PMCPMC13549904

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.