Evidence map›Paper›PMID 38708881›Full record

ArticleAnnals of surgery2025

A Method for Continuous Surgeon Improvement in Rectal Cancer: Risk-adjusted Cumulative Sum.

Davide Ferrari, Tommaso Violante, Amit Merchea, Eric Dozois, Robert A Vierkant, David W Larson

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Annals of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Response to Comment on A Method for Continuous Surgeon Improvement in Rectal Cancer.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  4. Comment on A Method for Continuous Surgeon Improvement in Rectal Cancer: Observed Minus Expected (O-E) Chart Versus CUSUM Chart.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Davide FerrariDivision of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN.
Tommaso ViolanteDivision of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN.
Amit MercheaDivision of Colon and Rectal Surgery, Mayo Clinic, Jacksonville, FL.
Eric DozoisDivision of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN.
Robert A VierkantDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
David W LarsonDivision of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and analyze a risk-adjusted cumulative sum (RA-CUSUM) chart as a potential method to monitor individual surgeon performance in robotic total mesorectal excision (TME) for rectal cancer.

backgroundCurrently, surgeons lack real-time tools to monitor and enhance their performance beyond residency completion. While national quality programs exist, granular, individual-level data are crucial for continuous improvement. Previous studies suggest cumulative sum charts hold promise in identifying performance trends and outliers.

methodsThis retrospective study analyzed data from 640 robotic TME cases performed by 12 surgeons at 2 institutions. RA-CUSUM charts were generated for 3 outcomes: (1) complications, (2) operative time, and (3) length of stay.

resultsThe overall RA-CUSUM curves for operative time and complications showed an initial learning phase, followed by a plateau or downward slope, indicating proficiency or improvement. However, individual surgeon curves revealed significant heterogeneity. Three surgeons consistently excelled in operative time, while 5 minimized complications most effectively. Potential quality improvement could be implemented to drive performance toward positive outliers. No differences were found in unadjusted outcomes, including conversion, number of lymph nodes harvested, and positive circumferential margins.

conclusionsThe RA-CUSUM chart is a promising method for identifying individual surgeon performance in robotic TME. It could help surgeons, teams, and leaders identify improvement areas and benchmark themselves against positive outliers. Further studies are needed to explore the potential of RA-CUSUM for implementing interventions to improve surgical quality.

Indexed as

Clinical CompetenceQuality ImprovementRectal NeoplasmsRobotic Surgical ProceduresSurgeonsAgedFemaleHumansLength of StayMaleMiddle AgedOperative TimePostoperative ComplicationsRetrospective StudiesRisk Adjustmentquality improvementrectal cancerrisk-adjusted cumulative sum (RA-CUSUM)robotic total mesorectal excision (TME)surgeon performance

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What OpenQuestion holds

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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.