Evidence map›Paper›PMID 39008300›Full record

ArticleJAMA network open2024

Surgeon Skill and Perioperative Outcomes in Robot-Assisted Partial Nephrectomy.

Yuzhi Wang, Samantha Wilder, Mahmoud Hijazi, Marquisha D Myles, Mahin Mirza, Monica Van Til, Thomas Maatman, Khurshid R Ghani, Brian R Lane, Craig G Rogers and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

11 authors.

Yuzhi WangVattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.
Samantha WilderVattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.
Mahmoud HijaziDepartment of Urology, University of Michigan Medical School, Ann Arbor.
Marquisha D MylesVattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.
Mahin MirzaDepartment of Urology, University of Michigan Medical School, Ann Arbor.
Monica Van TilDepartment of Urology, University of Michigan Medical School, Ann Arbor.
Thomas MaatmanMichigan Urological Clinic, Grand Rapids.
Khurshid R GhaniDepartment of Urology, University of Michigan Medical School, Ann Arbor.
Brian R LaneCorewell Health Hospital System, Grand Rapids, Michigan.
Craig G RogersVattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.
Michigan Urological Surgery Improvement Collaborative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Technical skill in complex surgical procedures may affect clinical outcomes, and there is growing interest in understanding the clinical implications of surgeon proficiency levels. Objectives: To determine whether surgeon scores representing technical skills of robot-assisted kidney surgery are associated with patient outcomes. Design, Setting, and Participants: This quality improvement study included 10 urological surgeons participating in a surgical collaborative in Michigan from July 2021 to September 2022. Each surgeon submitted up to 7 videos of themselves performing robot-assisted partial nephrectomy. Videos were segmented into 6 key steps, yielding 127 video clips for analysis. Each video clip was deidentified and distributed to at least 3 of the 24 blinded peer surgeons from the collaborative who also perform robot-assisted partial nephrectomy. Reviewers rated technical skill and provided written feedback. Statistical analysis was performed from May 2023 to January 2024. Main Outcomes and Measures: Reviewers scored each video clip using a validated instrument to assess technical skill for partial nephrectomy on a scale of 1 to 5 (higher scores indicating greater skill). For all submitting surgeons, outcomes from a clinical registry were assessed for length of stay (LOS) greater than 3 days, estimated blood loss (EBL) greater than 500 mL, warm ischemia time (WIT) greater than 30 minutes, positive surgical margin (PSM), 30-day emergency department (ED) visits, and 30-day readmission. Results: Among the 27 unique surgeons who participated in this study as reviewers and/or individuals performing the procedures, 3 (11%) were female, and the median age was 47 (IQR, 39-52) years. Risk-adjusted outcomes were associated with scores representing surgeon skills. The overall performance score ranged from 3.5 to 4.7 points with a mean (SD) of 4.1 (0.4) points. Greater skill was correlated with significantly lower rates of LOS greater than 3 days (-6.8% [95% CI, -8.3% to -5.2%]), EBL greater than 500 mL (-2.6% [95% CI, -3.0% to -2.1%]), PSM (-8.2% [95% CI, -9.2% to -7.2%]), ED visits (-3.9% [95% CI, -5.0% to -2.8%]), and readmissions (-5.7% [95% CI, -6.9% to -4.6%]) (P < .001 for all). Higher overall score was also associated with higher partial nephrectomy volume (β coefficient, 11.4 [95% CI, 10.0-12.7]; P < .001). Conclusions and Relevance: In this quality improvement study on video-based evaluation of robot-assisted partial nephrectomy, higher technical skill was associated with lower rates of adverse clinical outcomes. These findings suggest that video-based evaluation plays a role in assessing surgical skill and can be used in quality improvement initiatives to improve patient care.

Indexed as

Clinical CompetenceNephrectomyRobotic Surgical ProceduresSurgeonsAdultFemaleHumansLength of StayMaleMichiganMiddle AgedPostoperative ComplicationsQuality Improvement

Identifiers

PMID39008300
PMCPMC11250260

What OpenQuestion holds

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LicenceCC BY
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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.