Evidence map›Paper›PMID 38187460›Full record

ArticleJU open plus2023

Technical surgical skill assessment of neurovascular bundle dissection and urinary continence recovery after robotic-assisted radical prostatectomy.

Runzhuo Ma, Steven Cen, Edward Forsyth, Patrick Probst, Aeen Asghar, William Townsend, Alvin Hui, Aditya Desai, Michael Tzeng, Emily Cheng and 4 more

Open access · hybridAbstract read
In one paragraph

Article in JU open plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

14 authors at 4 institutions in 2 countries.

Runzhuo MaCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
Steven CenDepartment of Radiology, University of Southern California, Los Angeles, California.
Edward ForsythCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
Patrick ProbstCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
Aeen AsgharCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
William TownsendCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
Alvin HuiCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
Aditya DesaiCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
Michael TzengDepartment of Urology, Weill Cornell Medicine, New York, New York.
Emily ChengDepartment of Urology, Weill Cornell Medicine, New York, New York.
Ashwin RamaswamyDepartment of Urology, Weill Cornell Medicine, New York, New York.
Christian WagnerDepartment of Urology and Urologic Oncology, St. Antonius-Hospital, Gronau, Germany.
Jim C HuDepartment of Urology, Weill Cornell Medicine, New York, New York.
Andrew J HungCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.
University of Southern California · USCornell University · USWeill Cornell Medicine · USSt.-Antonius-Hospital Gronau · DE

Funding

Preserving Erectile Function by Quantifying the Nerve-Sparing step of the Robotic ProstatectomyR01CA273031 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jim Hu, Andrew Hung · 2022 to 2026
$3.6M
NCI NIH HHS R01 CA273031
6 · The paper itself

Abstract

Purpose: To examine the association between the Materials and Methods: Patients who underwent RARPs from 2016 to 2018 in two institutions with ≥1-year postoperative follow-up were included. The primary outcomes were time to urinary continence recovery. Surgical videos were independently assessed by 3 blinded raters using the validated Results: 121 RARP performed by 23 surgeons with various experience levels were included. The median follow-up was 24 months (95% CI 20 - 28 months). The median time to continence recovery was 7.3 months (95% CI 4.7 - 9.8 months). After adjusting for patient age, higher scores of certain DART domains, specifically Conclusions: Technical skill scores of neurovascular bundle dissection vary among surgeons and correlate with urinary continence recovery. Unveiling the specific robotic dissection skillsets which impact patient outcomes has the potential to focus surgical training.

Indexed as

dissectioneducationprostatectomyroboticsurinary incontinence

Identifiers

PMID38187460
PMCPMC10768840
OpenAlexW4385492550

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.