Evidence map›Paper›PMID 41059261›Full record

ArticleFrontiers in surgery2025

Bladder paraganglioma: a 25-year systematic review unveils the benefits of early diagnosis in reducing surgical complications.

Qingqing Liu, Tong Wang, Wenlong Tu, Pengfei Zhou, Xionghui Wu, Huayan Lv

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

6 authors.

Qingqing LiuDepartment of Anesthesiology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine (Jinhua Municipal Central Hospital), Jinhua, China.
Tong WangDepartment of Biology, Duke University, Durham, NC, the United States.
Wenlong TuDepartment of Anesthesiology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine (Jinhua Municipal Central Hospital), Jinhua, China.
Pengfei ZhouDepartment of Urology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine (Jinhua Municipal Central Hospital), Jinhua, China.
Xionghui WuDepartment of Urology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine (Jinhua Municipal Central Hospital), Jinhua, China.
Huayan LvDepartment of Anesthesiology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine (Jinhua Municipal Central Hospital), Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder paraganglioma (BPG) is a rare tumor frequently misdiagnosed before surgery. To raise awareness and improve early detection, we systematically reviewed clinical manifestations and treatment approaches reported in BPG case reports over the past 25 years. We aimed to identify factors that could facilitate timely diagnosis and reduce complications from misdiagnosis. Materials and methods: We searched PubMed for BPG case reports published between January 1, 2000, and December 31, 2024. Two independent reviewers extracted data and performed statistical analyses. Patients were categorized into two groups based on preoperative diagnosis: correctly diagnosed and misdiagnosed. Results: A total of 199 cases from 184 articles were included, with eighty patients (40.2%) preoperatively diagnosed with BPG and 119 (59.8%) misdiagnosed. Catecholamine-related symptoms were significantly more common in the correctly diagnosed group (60.0% vs. 21.8%, Conclusion: More than half of BPG patients lack accurate preoperative diagnoses. Catecholamine-related symptoms were strongly associated with correct diagnosis, while urinary symptoms increased misdiagnosis. Patients with preoperative correct diagnosis more frequently received

Indexed as

bladder paragangliomamisdiagnosispreoperative correct diagnosissurgical complicationssystematic review

Identifiers

PMID41059261
PMCPMC12497724

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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.