Evidence map›Paper›PMID 40842591›Full record

SynthesisFrontiers in oncology2025

Comparative efficacy of holmium laser versus plasma techniques in the surgical management of non-muscle invasive bladder cancer: a meta-analysis.

Dong Li, Jia-Neng Xu, Han-Kai Chen, Qiang Ren, Yu-Min Li

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. 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.

Dong LiDepartment of Urology, Jiashan First People's Hospital, Jiaxing, Zhejiang, China.
Jia-Neng XuDepartment of Urology, Jiashan First People's Hospital, Jiaxing, Zhejiang, China.
Han-Kai ChenDepartment of Urology, Jiashan First People's Hospital, Jiaxing, Zhejiang, China.
Qiang RenDepartment of Urology, Jiashan First People's Hospital, Jiaxing, Zhejiang, China.
Yu-Min LiDepartment of Urology, Jiashan First People's Hospital, Jiaxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This systematic review and meta-analysis compared the efficacy of Holmium Laser and Plasma Techniques in treating non-muscle invasive bladder cancer (NMIBC), focusing on surgical duration, safety, and tumor recurrence. Methods: Adhering to PRISMA guidelines, we included randomized controlled trials that directly compared Holmium Laser and Plasma Techniques in NMIBC treatment. The Cochrane Collaboration's tool assessed study quality, and statistical analyses were conducted using fixed-effect or random-effects models based on heterogeneity. Sensitivity analyses and publication bias assessments were also performed. Results: Our search yielded 1158 potentially relevant articles, with 8 studies meeting our inclusion criteria. The analysis showed no significant difference in surgical duration between the two techniques. However, the Holmium Laser was associated with a significantly lower incidence of intraoperative bladder perforation (RR=0.10, P<0.001) and a reduced short-term tumor recurrence rate (RR=0.65, P<0.01). Sensitivity analysis confirmed the robustness of these findings, and no significant publication bias was detected. Conclusions: Holmium Laser provides safer outcomes and better efficacy in reducing postoperative tumor recurrence compared to Plasma Techniques in NMIBC management.

Indexed as

holmium lasermetaanalysisnon-muscle invasive bladder cancerplasma techniquessurgical outcomes

Identifiers

PMID40842591
PMCPMC12364660

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.