Evidence map›Paper›PMID 39462910›Full record

SynthesisAmerican journal of men's health

Comparison of Extracorporeal and Intracorporeal Urinary Diversion after Robot-Assisted Radical Cystectomy for Bladder Cancer: A Meta-Analysis.

Shuhui An, Lei Shi, Yuepeng Liu, Lixin Ren, Kun Zhang, Meng Zhu

Abstract readMeta-AnalysisSystematic ReviewComparative Study
In one paragraph

Synthesis in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

6 authors.

Shuhui AnDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Lei ShiDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yuepeng LiuDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Lixin RenDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Kun ZhangDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Meng ZhuDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID 0009-0000-8443-3871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the therapeutic efficacy of intracorporeal urinary diversion (ICUD) and extracorporeal urinary diversion (ECUD) after robot-assisted radical cystectomy for bladder cancer through systematic review. This study systematically retrieved electronic databases of PubMed, Web of Science, Cochrane Library, CNKI, and Wanfang to include peer-reviewed studies comparing ICUD and ECUD after robot-assisted radical cystectomy for bladder cancer. Relative risk (RR) and mean difference (MD) were used to represent the pooled effect size and estimate its 95% confidence interval (CI). This study included 15 studies with good quality, involving 5,370 patients undergoing robot-assisted radical cystectomy for bladder cancer. Meta-analysis showed that ICUD reduced intraoperative bleeding volume by 64.12 ml (95% confidence interval [CI]: [-100.95, -27.29]), significantly decreased the risk of blood transfusion (RR: 0.40; 95% CI: [0.24, 0.68]) and gastrointestinal complications (odds ratio [

Indexed as

CystectomyRobotic Surgical ProceduresUrinary Bladder NeoplasmsUrinary DiversionHumansPostoperative Complicationsbladder cancerextracorporeal urinary diversionintracorporeal urinary diversionmeta-analysisrobotic-assisted

Identifiers

PMID39462910
PMCPMC11526166

What OpenQuestion 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 OpenQuestion graph.