Evidence mapPaperPMID 41890146Full record

ArticleFrontiers in surgery2026

Prone retroperitoneal robotic-assisted laparoscopic pyeloplasty for ureteropelvic junction obstruction.

Xiao Yang, Haonan Chen, Hao Yu, Zhengye Tan, Lingkai Cai, Qiang Cao, Qiang Lu

Abstract read
In one paragraph

Article in Frontiers in surgery, 2026. 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

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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

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

7 authors.

Xiao Yang *Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Haonan Chen *Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hao Yu *Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhengye TanDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lingkai CaiDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiang CaoDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiang LuDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the feasibility and preliminary outcomes of prone retroperitoneal robotic-assisted laparoscopic pyeloplasty (prRALP) for ureteropelvic junction obstruction (UPJO), an innovative approach designed to optimize surgical exposure and suturing. Methods: This retrospective cohort study analyzed four patients who underwent prRALP between September 2023 and May 2024. The surgical technique involved prone positioning and multi-port robotic access, enabling direct posterior exposure of the renal pelvis and proximal ureter. Primary outcomes included operation time (OT), estimated blood loss (EBL), complications (Clavien-Dindo classification), and postoperative renal function (eGFR). Success was defined by radiographic resolution of obstruction, symptom relief, and no need for reintervention. Results: All procedures were completed robotically without open conversion and reoperation. Mean OT was 64.6 ± 14.4 min, with minimal blood loss of 27.5 ± 15.0 mL and no transfusions. The mean postoperative hospital stay was 3.3 ± 0.5 days. One minor complication (fever, Clavien 1) occurred (25%). Postoperative eGFR improved by 1.3 ± 14.2 mL/min/1.73 m Conclusion: prRALP demonstrates feasibility and safety, leveraging prone position to enhance retroperitoneal access and suturing precision. Larger prospective studies are warranted to validate its technical benefits and reproducibility.

Indexed as

prone positionpyeloplastyretroperitonealroboticureteropelvic junction obstruction

Identifiers

PMID41890146
PMCPMC13013488

What Socratic 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 Socratic graph.