Evidence map›Paper›PMID 34532272›Full record

ArticleTranslational andrology and urology2021

A systematic review and meta-analysis of radical cystectomy in the treatment of muscular invasive bladder cancer (MIBC).

Juan Zhao, Li Zhou, Yan Pan, Lan Chen

Abstract read
In one paragraph

Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Postoperative ileus as a surgical challenge: comparative outcomes of end-to-end and side-to-side ileal anastomosis in radical cystectomy.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
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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.

Juan ZhaoUrology Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Li ZhouUrology Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yan PanUrology Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Lan ChenUrology Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA meta-analysis was conducted to evaluate the curative effect of radical cystectomy in the treatment of muscular invasive bladder cancer (MIBC).

methodsChinese and English databases were searched using free combinations of the terms "bladder cancer," "radical cystectomy," "muscle invasive bladder cancer," and "bladder preservation." Review Manager 5.3 software was used for the meta-analysis.

resultsA total of 12 articles were included in the meta-analysis, most of which had low-bias risk and were of medium and high quality. A funnel chart showed that the circles of some studies were basically symmetrical with the midline, suggesting that the research accuracy was high, the publications were not biased, and the final conclusions were credible. Twelve articles analyzed patients' 5-year survival rate in randomized controlled trials (RCTs). In these RCTs, the experimental group (expt group) comprised 775 cases and the control group (ctrl group) comprised 766 cases. A heterogeneity test using the fixed-effects model (FEM) showed Chi DISCUSSION: Our meta-analysis confirmed that radical cystectomy is effective in the treatment of MIBC and is worthy of clinical promotion.

Indexed as

bladder preservationdistant metastasis rate (DMR)muscular invasive bladder cancer (MIBC)Radical cystectomysurvival rate

Identifiers

PMID34532272
PMCPMC8421829

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.