Evidence map›Paper›PMID 41866630›Full record

ArticleJournal of robotic surgery2026

The importance of procedural indication in predicting operative time for elective robotic colon surgery.

Rachel Ma, Yosef Nasseri, George Wu, Matthew Zeller, Paola Solis-Pazmino, Joseph Wetherell, Moshe Barnajian, Marcie Feinman, Jessica Felton, Joshua Wolf

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Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Rachel MaVagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Yosef NasseriSurgery Group Los Angeles, 8635 W 3rd St Suite 880, Los Angeles, CA, 90048, USA. yosefnasseri@gmail.com.
George WuSurgery Group Los Angeles, 8635 W 3rd St Suite 880, Los Angeles, CA, 90048, USA.
Matthew ZellerLifeBridge Health, Baltimore, MD, USA.
Paola Solis-PazminoSurgery Group Los Angeles, 8635 W 3rd St Suite 880, Los Angeles, CA, 90048, USA.
Joseph WetherellLifeBridge Health, Baltimore, MD, USA.
Moshe BarnajianSurgery Group Los Angeles, 8635 W 3rd St Suite 880, Los Angeles, CA, 90048, USA.
Marcie FeinmanLifeBridge Health, Baltimore, MD, USA.
Jessica FeltonLifeBridge Health, Baltimore, MD, USA.
Joshua WolfLifeBridge Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate prediction of operative time in robotic surgery is essential for efficient operating room scheduling and resource utilization. Most current estimation methods rely primarily on Current Procedural Terminology (CPT) codes, which do not account for the clinical indication that could influence surgical complexity. We assessed if surgical indication independently contributes to variation in operative duration for robotic colon procedures. Methods: We conducted a retrospective cohort study using the ACS-NSQIP from 2018 to 2023 of adults undergoing elective robotic colectomy. Cases were limited to the four most common CPT codes and four most common surgical indications: colon cancer, benign neoplasm, uncomplicated diverticulitis, and complicated diverticulitis. Operative time, defined as minutes from incision to closure, was compared across indications within each CPT category. Multivariable linear regression adjusting for demographic and clinical factors assessed whether indication independently predicted operative duration. Results: Among 29,090 cases, median operative time differed significantly across indications within every CPT category. Cancer and complicated diverticulitis were consistently associated with the longest operative durations (292.0 min, 283.0 min), while benign neoplasm had the shortest (172.0 min). In adjusted models, indication remained an independent predictor of operative time, adding up to 43 min depending on CPT and indication (β:42.77 min, 95%CI:36.14–49.40 min, p < 0.001). Conclusions: Surgical indication significantly influences operative time in robotic colon surgery beyond the information captured by CPT codes. Incorporating diagnosis-specific data into time estimation models may improve operating room scheduling accuracy and overall resource utilization.

Indexed as

ColectomyColonElective Surgical ProceduresOperative TimeRobotic Surgical ProceduresAgedColonic NeoplasmsFemaleHumansMaleMiddle AgedRetrospective StudiesColectomyColon diseases/surgeryOperative timeResource allocationRobotics

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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.