Evidence map›Paper›PMID 42560485›Full record

ArticleSurgical endoscopy2026

Association of institutional volume with surgical and oncologic outcomes for robotic rectal cancer surgery: a retrospective review.

Mohamed H El-Farra, Liang Ji, Jonathan Lee, Jenny Cevallos, Marc Abou Assali, David Row, Sharon Lum, Raja R Narayan, Rhami Khorfan

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Article in Surgical endoscopy, 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mohamed H El-FarraDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA. melfarra@llu.edu.ORCID http://orcid.org/0009-0003-3188-7126
Liang JiDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.
Jonathan LeeDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.
Jenny CevallosDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.
Marc Abou AssaliDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.
David RowDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.
Sharon LumDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.
Raja R NarayanDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.
Rhami KhorfanDepartment of General Surgery, Loma Linda University, Loma Linda, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRobotic surgery has been increasingly adopted for rectal cancer. However, the majority of studies investigating robotic surgery have focused on high-volume institutions. This study aims to compare the perioperative and oncologic outcomes of robotic rectal cancer surgery at low-, medium-, and high-volume institutions.

methodsAdults undergoing robotic proctectomy for primary rectal cancer were identified from the National Cancer Database (2010-2022). Institutions reporting ≥ 2 years of cases were included. A generalized additive model was used to determine volume thresholds classifying hospitals into low, medium, and high volume based on their rates of conversion to open surgery. Patient characteristics and outcomes were evaluated with chi-squared analysis. Overall survival was assessed with multivariable Cox proportional hazards modeling.

resultsAmong 327 institutions, thresholds for low, medium, and high were 1-4, 5-13, and > 13 cases/year. The total number of patients and facilities for low, medium, and high were 10,945/142, 17,361/147, and 8,828/38, respectively. High-volume institutions (HVIs) operated more frequently on cN1-2 tumors (46.0, 50.0, 53.5%, p < 0.0005), but fewer poorly differentiated tumors (10.2, 9.8, 8.4%, p < 0.0003). HVIs had lower rates of conversion to open (7.9, 5.2, 3.2%, p < 0.0001), lower 90-day mortality (2.2, 1.4, 1.3, p < 0.0001), and more frequently resected ≥ 12 lymph nodes (76.8, 80.5, 85.7%, p < 0.0001). On multivariable analysis, there was no difference in long-term overall survival based on institutional volume (medium vs. low: HR 0.97 [0.88-1.07], p = 0.52; high vs. low: HR 0.92 [0.82-1.03], p = 0.13).

conclusionsDifferences in patient selection exist for robotic rectal cancer resection based on hospital volume. HVIs demonstrated better oncologic and perioperative outcomes, but there was no difference in long-term overall survival based on volume. There is an opportunity for low- and medium-volume institutions to achieve appropriate long-term oncologic outcomes, but further work is needed to investigate patient selection and early post-operative mortality.

Indexed as

OncologicProctectomyRoboticVolumes

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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.