Evidence map›Paper›PMID 39588382›Full record

ArticleOpen medicine (Warsaw, Poland)2024

Analysis of postoperative complications in bladder cancer patients.

Tianli Shi, Dongdong Yu, Yang Xu, Xiaohui Huang

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Tianli ShiDepartment of Urology, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, China.
Dongdong YuDepartment of Urology, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, China.
Yang XuDepartment of Urology, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, China.
Xiaohui HuangDepartment of Urology, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang, 313000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer, a significant health concern worldwide, often necessitates diverse surgical interventions and postoperative treatments. Understanding the complications arising from these procedures is vital for enhancing patient outcomes and quality of life. Methods: This study encompassed 80 bladder cancer patients, evaluating their demographic characteristics, systemic conditions, cancer stages, tumor diameter, surgical procedures, and postoperative treatments. The occurrences and types of complications were meticulously documented, alongside the duration and clinical outcomes of these complications. Different surgical procedures were analyzed to discern their respective complication rates. Results: In all 80 patients, infections (43.75%) emerged as the most common, followed by bladder spasms (16.25%). Notably, complications varied among different surgical procedures, with infection, bladder spasms, and bleeding being prominent in various cases. The correlation analysis did not demonstrate correlation ( Conclusion: Our study underscores the diverse landscape of postoperative complications in bladder cancer patients. The findings emphasize the importance of tailored interventions based on specific complications, cancer stages, and surgical procedures.

Indexed as

bladder cancercorrelationpostoperative complicationprognosissurgery

Identifiers

PMID39588382
PMCPMC11587919

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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.