Evidence map›Paper›PMID 26157767›Full record

ArticleProstate international2015

Can robot-assisted radical prostatectomy be taught to chief residents and fellows without affecting operative outcomes?

Ziho Lee, Andrew J Lightfoot, Phillip Mucksavage, David I Lee

Abstract read
In one paragraph

Article in Prostate international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Slower but safe? Resident involvement in urological surgeries.Canadian Urological Association journal = Journal de l'Association des urologues du Canada
    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.

Ziho LeeDepartment of Urology, Temple University Hospital, Philadelphia, PA, USA.
Andrew J LightfootDivision of Urology, University of Pennsylvania, Philadelphia, PA, USA.
Phillip MucksavageDivision of Urology, University of Pennsylvania, Philadelphia, PA, USA.
David I LeeDivision of Urology, University of Pennsylvania, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether robot-assisted radical prostatectomy (RARP) may be taught to chief residents and fellows without influencing operative outcomes.

methodsBetween August 2011 and June 2012, 388 patients underwent RARP by a single primary surgeon (DIL) at our institution. Our teaching algorithm divides RARP into five stages, and each trainee progresses through the stages in a sequential manner. Statistical analysis was conducted after grouping the cohort according to the surgeons operating the robotic console: attending only (n = 91), attending and fellow (n = 152), and attending and chief resident (n = 145). Approximately normal variables were compared utilizing one-way analysis of variance, and categorical variables were compared utilizing two-tailed χ(2) test; P < 0.05 was considered statistically significant.

resultsThere was no difference in mean age (P = 0.590), body mass index (P = 0.339), preoperative SHIM (Sexual Health Inventory for Men) score (P = 0.084), preoperative AUASS (American Urologic Association Symptom Score) (P = 0.086), preoperative prostate-specific antigen (P = 0.258), clinical and pathological stage (P = 0.766 and P = 0.699, respectively), and preoperative and postoperative Gleason score (P = 0.775 and P = 0.870, respectively). Operative outcomes such as mean estimated blood loss (P = 0.807) and length of stay (P = 0.494) were similar. There was a difference in mean operative time (P < 0.001; attending only = 89.3 min, attending and fellow 125.4 min, and attending and chief resident 126.9 min). Functional outcomes at 3 months and 1 year postoperatively such as urinary continence rate (P = 0.977 and P = 0.720, respectively), and SHIM score (P = 0.661 and P = 0.890, respectively) were similar. The rate of positive surgical margins (P = 0.058) was similar.

conclusionsTraining chief residents and fellows to perform RARP may be associated with increased operative times, but does not compromise short-term functional and oncological outcomes.

Indexed as

EducationMinimally invasive surgeryProstatectomy

Identifiers

PMID26157767
PMCPMC4494638

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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.