Evidence map›Paper›PMID 35061081›Full record

ReviewSurgical endoscopy2022

Robotic left-stapled total intracorporeal bowel anastomosis versus stapled partial extracorporeal anastomosis: operative technical description and outcomes.

Hannah M Hollandsworth, Kevin Li, Beiqun Zhao, Benjamin Abbadessa, Nicole E Lopez, Lisa Parry, Sonia Ramamoorthy, Samuel Eisenstein

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

8 authors at 1 institution in 1 country.

Hannah M HollandsworthDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA.
Kevin LiDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA.
Beiqun ZhaoDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA.
Benjamin AbbadessaDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA.
Nicole E LopezDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA.
Lisa ParryDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA.
Sonia RamamoorthyDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA.
Samuel EisensteinDepartment of Surgery, Division of Colon and Rectal Surgery, John and Rebecca Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr. #0987, La Jolla, CA, 92037, USA. seisenstein@health.ucsd.edu.
University of California, San Diego · US

Funding

UCSD Cancer Center Training Program in Drug DevelopmentT32CA121938 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Michael Bouvet, Dwayne G. Stupack · 2006 to 2026
$10.3M
NCI NIH HHS T32 CA121938NIH HHS T32CA121938
6 · The paper itself

Abstract

backgroundAlthough there is extensive literature on robotic total intracorporeal anastomosis (TICA) for right colon resection, left total ICA using the da Vinci Xi robotic platform has only been described in short case series previously. In this study, we report on the largest cohort of robotic left total ICA, provide a description of our institution's techniques, and compare outcomes to robotic left partial extracorporeal anastomosis (PECA).

methodsPatients who underwent robotic left colectomy for any underlying pathology from July 1, 2016 through April 30, 2020 were identified by procedure code. A technical description is provided for two unique techniques performed at our institution. Outcomes included operative time, length of stay, supply cost, post-operative ileus, post-operative morbidity and mortality and need for complete mobilization of the splenic flexure.

resultsFrom a review of our institution's data, 83 robotic TICA cases were identified and 76 robotic PECA cases were identified. Common procedures included low anterior resection, sigmoidectomy, left hemicolectomy, and rectopexy with resection. TICA was associated with significantly shorter intraoperative time compared to PECA.

conclusionsOur series shows that TICA is a safe and feasible technique that does not increase the risk of adverse outcomes. Using either the anvil-forward or anvil-backward technique, we were able to reliably reproduce this method in a total of 83 patients undergoing left colon resection for either benign or malignant diseases.

Indexed as

Colonic NeoplasmsLaparoscopyRoboticsRobotic Surgical ProceduresAnastomosis, SurgicalColectomyHumansOperative TimeRetrospective StudiesTreatment OutcomeColon anastomosisColorectal cancerIntracorporealRobotic surgery

Identifiers

PMID35061081
PMCPMC9001240
OpenAlexW4205149210

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.