Evidence map›Paper›PMID 42417828›Full record

ArticleSurgical endoscopy2026

Disparities in robot utilization in colorectal surgery: the widening gap.

Andrew E Donaldson, Sarah B Jochum, Jimmie Knight, Joshua M Underhill, Chassidy Grimes, Laura A DeCesare, Brendan O'Donnell, Ethan M Ritz, Henry R Govekar, Anuradha R Bhama and 2 more

Abstract read
In one paragraph

Article in Surgical endoscopy, 2026. 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
–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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Andrew E DonaldsonDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Sarah B JochumDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Jimmie KnightDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Joshua M UnderhillDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Chassidy GrimesDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Laura A DeCesareDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Brendan O'DonnellDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Ethan M RitzRush Bioinformatics and Biostatistics Core, Chicago, IL, USA.
Henry R GovekarDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Anuradha R BhamaDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA.
Erin King-MullinsDiversity in Colon and Rectal Surgery, American Society of Colon and Rectal Surgeons, Chicago, IL, USA.
Dana M HaydenDepartment of Surgery, Rush University Medical Center, 1620 W. Harrison St, Chicago, IL, 60612, USA. haydend@surgery.wisc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-assisted surgery has expanded in adoption and indication among multiple surgical specialties, including colorectal surgery. It is unclear if access to robotic surgery is increasing equally among all patient populations.

objective(1) Identify the factors that may influence type of surgical approach and (2) evaluate disparities in access and subsequent outcomes of colectomy and proctectomy from years 2013-2020 using a national database. STUDY

designWe performed a retrospective study using the National Surgical Quality Improvement Program to identify adult patients who had undergone colectomy and/or proctectomy from years 2013-2020. We performed multivariate analysis to identify factors that may influence the likelihood of receiving robotic surgery. SETTINGS: Tertiary care medical center. PATIENTS: 18 years and older, received colectomy and/or proctectomy from 2013-2020.

main outcome measuresFrequency of robotic colorectal surgery, postoperative complications, and mortality.

resultsA total of 125,776 patients met inclusion criteria. Mean age was 61.4 years; 12.8% (16,086) of patients were non-White. In multivariate analysis, patients who were female, non-White, underweight or had inflammatory bowel disease were less likely to undergo robot-assisted surgery (p < 0.05). Although the total number of robotic cases increased year-to-year, the gap between White and non-White patients widened. In 2014, a White patient was 1.51 times more likely to have robot-assisted surgery compared to a non-White patient; odds increased to 1.96 in 2020 (p < 0.001). Patients who underwent robot-assisted surgery were less likely to have a postoperative complication (OR 0.86, CI 0.82-0.9) or serious adverse event (OR 0.9, CI 0.84-0.97), and had lower odds of 30-day mortality (OR 0.72, CI 0.57-0.91). LIMITATIONS: Retrospective, limited coding in national databases, and database variables.

conclusionsDespite increased awareness of racial and ethnic disparities in surgical care, non-White patients' decreased access to robot-assisted surgery is troublesome. Interventions must focus on closing this gap if we are to provide equitable healthcare.

Indexed as

ColectomyHealthcare DisparitiesProctectomyRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesUnited StatesColectomyMinimally invasive surgeryNSQIPProctectomyRacial disparitiesRobotic surgery

Identifiers

PMID42417828
PMCPMC13582138

What OpenQuestion 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 OpenQuestion graph.