Evidence map›Paper›PMID 42113516›Full record

ArticleJAMA network open2026

Surgeon Volume and Clinical Outcomes After Robotic Elective and Emergency General Surgery.

Natasha Houshmand, I-Fan Shih, Alistair J Kent, Samuel W Ross, Joseph V Sakran

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Natasha HoushmandDepartment of Surgery, Johns Hopkins Medicine, Baltimore, Maryland.
I-Fan ShihGlobal Access Value Economics, Intuitive Surgical, Sunnyvale, California.
Alistair J KentDepartment of Surgery, Johns Hopkins Medicine, Baltimore, Maryland.
Samuel W RossDepartment of Surgery, Atrium Health Carolinas Medical Center, Wake Forest University School of Medicine, Charlotte, North Carolina.
Joseph V SakranDepartment of Surgery, Johns Hopkins Medicine, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Robotic-assisted surgery is increasingly used in acute care surgery, but the impact of individual surgeon robotic case volume on outcomes for both elective and emergency general surgery procedures remains uncertain. Objective: To evaluate the association between annual surgeon robotic case volume and patient outcomes following robotic-assisted elective and emergency general surgery. Design, Setting, and Participants: This retrospective cohort study used data from the Premier Healthcare Database (PHD), a large US all-payer hospital database, from January 2021 to December 2023. The PHD aggregates data from nonprofit, community, and teaching hospitals across rural and urban areas, representing 25% of all US inpatient admissions. Adult patients (aged ≥18 years) undergoing robotic-assisted cholecystectomy, colectomy, appendectomy, small bowel resection, or ventral hernia repair were included. Exposure: Annual surgeon-level robotic case volume, categorized as low (≤25), intermediate (26-75), high (76-150), or very high (≥151). Main Outcomes and Measures: The primary outcome was conversion to open surgery; secondary outcomes included postoperative complications, intensive care unit (ICU) admission, 30-day readmission, operative time, hospital length of stay, total hospital cost, and in-hospital mortality. Multivariable logistic and linear regression models, respectively, were used to estimate adjusted odds ratios (AORs) and mean ratios with 95% CIs. Models adjusted for patient demographics, hospital characteristics, and surgeon specialty. Results: Among 185 924 patients undergoing robotic procedures (137 879 elective and 48 045 emergency), most (58.2%) were female (57.1% of elective and 61.5% of emergency cases). Mean (SD) patient age was 54.9 (16.6) years overall (55.6 [15.8] years for elective and 53.0 [18.5] years for emergency procedures). In elective procedures, increasing annual surgeon volume was associated with stepwise improvements across most outcomes; compared with low volume surgeons, very high volume surgeons had lower odds of conversion to open surgery (AOR, 0.45; 95% CI, 0.36-0.56), complications (AOR, 0.87; 95% CI, 0.79-0.96), readmission (AOR, 0.79; 95% CI, 0.68-0.91), and ICU admission (AOR, 0.61; 95% CI, 0.46-0.82). Operative time (mean ratio, 0.77; 95% CI, 0.75-0.79), hospital length of stay (mean ratio, 0.89; 95% CI, 0.88-0.91), and costs (mean ratio, 0.83; 95% CI, 0.82-0.84) were also significantly lower. In emergency procedures, very high vs low surgeon volume was associated with lower odds of conversion to open surgery (AOR, 0.73; 95% CI, 0.54-1.00) and modest reductions in operative time (mean ratio, 0.88; 95% CI, 0.85-0.91) and cost (mean ratio, 0.92; 95% CI, 0.89-0.94). No association was observed between surgeon volume and in-hospital mortality in either cohort. Conclusions and Relevance: In this cohort study, greater annual surgeon robotic case volume was associated with better patient outcomes in elective general surgery and, to a lesser degree, in emergency procedures. These findings highlight the importance of surgeon-specific experience in robotic surgery and may inform training, credentialing, and strategies for safe expansion of robotic capabilities in acute care surgery.

Indexed as

Elective Surgical ProceduresEmergency TreatmentRobotic Surgical ProceduresSurgeonsAcute Care SurgeryAdultAgedFemaleHumansLength of StayMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesTreatment OutcomeUnited States

Identifiers

PMID42113516
PMCPMC13162076

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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.