Evidence map›Paper›PMID 42443684›Full record

ArticleSurgical endoscopy2026

Circumferential resection margin status and longterm survival outcomes following robotic-assisted versus laparoscopic surgical resection for locally-advanced rectal cancer: a National Cancer Database (NCDB) study.

Michael H Froehlich, James E Petrancosta, Deborah A Nagle

Abstract readComparative Study
PubMed Publisher
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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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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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

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5 · Who and what money

Authors and funding

3 authors.

Michael H FroehlichDepartment of Surgery, Stony Brook University Hospital, Stony Brook, NY, 11794, USA. Michaelh.froehlich@gmail.com.ORCID http://orcid.org/0000-0002-3606-6891
James E PetrancostaStony Brook University Renaissance School of Medicine, Stony Brook, NY, 11794, USA.
Deborah A NagleDepartment of Surgery, Stony Brook University Hospital, Stony Brook, NY, 11794, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNegative circumferential resection margins (CRM) have been demonstrated to confer improved survival in patients with locally-advanced rectal cancer (LARC). Multiple clinical trials have recently demonstrated non-inferior short-term outcomes for robotic-assisted surgical resection (RR) compared to laparoscopic resection (LR) for LARC. We assessed CRM and long-term survival outcomes in LARC patients undergoing RR versus LR using the National Cancer Database (NCDB).

methodsNCDB retrospective analysis was performed in clinical stage II or stage III LARC patients who underwent RR or LR following total neoadjuvant therapy (TNT) between 2006 and 2021. We analyzed short- and long-term outcomes, including CRM status and overall survival (OS).

results14,744 patients were included. 6187 patients underwent RR and 8557 underwent LR. There was no difference in mean age, race, or comorbidity index scores between study groups. From 2006-2014 to 2015-2021, there was a significant increase in the proportion of LARC patients undergoing RR (31.8 to 53.0%). There was no significant difference in rate of positive CRM between the two groups (RR 5.7% vs. LR: 5.5%), however, the rate significantly decreased in the RR from Time Period 1 to Time Period 2 (6.3 to 4.8%). LR patients had a slightly higher risk of death compared to RR patients (HR 1.08, 95% CI 1.02-1.14). There was an increased risk of death in those in those with negative CRM who underwent LR compared to those with negative CRM who had undergone RR (HR 1.08, 95% CI 1.02-1.15).

conclusionsIn those undergoing surgical resection for LARC after TNT, RR had equivalent rates of positive CRM with slightly superior long-term OS compared to those who underwent LR. This large volume, national database study demonstrates that RR for LARC continues to offer a suitable alternative to LR with non-inferior operative, short-term, as well as long-term surgical outcomes, which have not previously been demonstrated.

Indexed as

LaparoscopyMargins of ExcisionRectal NeoplasmsRobotic Surgical ProceduresAgedDatabases, FactualFemaleHumansMaleMiddle AgedNeoadjuvant TherapyNeoplasm StagingRetrospective StudiesTreatment OutcomeCircumferential resection marginLocally-advanced rectal cancerNational Cancer DatabaseRectal cancerRobotic-assisted surgery

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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.