Evidence map›Paper›PMID 41280155›Full record

ArticleEuropean urology open science2025

Initial Experience with Laparoscopic Ureteroplasty with a Spliced Appendiceal Mucosal Graft for Proximal Ureteral Stricture.

Zhaohui Chen, Shangjun Wu, Ming Xiong, Xiaoming Wang, Yuqi Wu, Ruixiang Dai, Xiqi Peng, Huiling Jiang, Song Wu, Teng Hou

Abstract readCase Reports
In one paragraph

Article in European urology open science, 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

10 authors.

Zhaohui ChenDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Shangjun WuDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Ming XiongDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Xiaoming WangDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Yuqi WuDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Ruixiang DaiDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Xiqi PengDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Huiling JiangDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Song WuDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.
Teng HouDepartment of Urology, South China Hospital, Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-segment proximal ureteral strictures present a significant surgical challenge, particularly in patients unwilling or unsuitable for an oral mucosal graft. Here we report the first series of laparoscopic ureteroplasty procedures with a spliced appendiceal mucosal graft (SAMG) for proximal ureteral stricture. The novel technique was performed successfully in all three patients without conversion to open surgery. The mean operative time was 178.3 min, mean estimated blood loss was 36.7 ml, and mean hospital stay was 5.6 d. The postoperative follow-up period was at least 12 mo, and all patients exhibited a reduction in hydronephrosis and no obstruction of the reconstructed ureteral segments. There were no major intraoperative or postoperative complications. SAMG ureteroplasty appears to be a safe and effective surgical method for repair of proximal ureteral stricture.

Indexed as

Spliced appendiceal mucosal graftUreteral strictureUreteroplasty

Identifiers

PMID41280155
PMCPMC12639447

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.