Evidence map›Paper›PMID 36269488›Full record

ArticleJournal of robotic surgery2023

Robotic-assisted versus laparoscopic rectal surgery in obese and morbidly obese patients: ACS-NSQIP analysis.

Sinan Albayati, Kerry Hitos, Christophe R Berney, Matthew J Morgan, Nimalan Pathma-Nathan, Toufic El-Khoury, Arthur Richardson, Daniel I Chu, Jamie Cannon, Greg Kennedy and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Robotic vs. laparoscopic rectal cancer surgery in high BMI patients: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  19. Streamlining robotic-assisted abdominoperineal resection.World journal of surgical oncology · 2023
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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

11 authors at 4 institutions in 2 countries.

Sinan AlbayatiDepartment of Surgery, Nepean Hospital, Sydney, NSW, Australia. salbayati@gmail.com.ORCID https://orcid.org/0000-0002-7834-1767
Kerry HitosDiscipline of Surgery, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
Christophe R BerneySouth Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia.
Matthew J MorganSouth Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia.
Nimalan Pathma-NathanDiscipline of Surgery, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
Toufic El-KhouryDiscipline of Surgery, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
Arthur RichardsonDiscipline of Surgery, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
Daniel I ChuDivision of Gastrointestinal Surgery, University of Alabama, Birmingham, AL, USA.
Jamie CannonDivision of Gastrointestinal Surgery, University of Alabama, Birmingham, AL, USA.
Greg KennedyDivision of Gastrointestinal Surgery, University of Alabama, Birmingham, AL, USA.
James Wei Tatt TohDiscipline of Surgery, Sydney Medical School, University of Sydney, Sydney, NSW, Australia. james.toh@sydney.edu.au.ORCID https://orcid.org/0000-0002-0110-2629
The University of Sydney · AUUniversity of Alabama at Birmingham · USBankstown Lidcombe Hospital · AUNepean Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laparoscopic rectal surgery within the confines of a narrow pelvis may be associated with a high rate of open conversion. In the obese and morbidly obese patient, the complexity of laparoscopic surgery increases substantially. Robotic technology is known to reduce the risk of conversion, but it is unclear if it can overcome the technical challenges associated with obesity. The ACS NSQIP database was used to identify obese patients who underwent elective laparoscopic or robotic-assisted rectal resection from 2015 to 2016. Obesity was defined as a body mass index (BMI) greater than or equal to 30 kg/m

Indexed as

LaparoscopyObesity, MorbidRectal NeoplasmsRobotic Surgical ProceduresAnastomotic LeakConversion to Open SurgeryHumansLength of StayPostoperative ComplicationsRetrospective StudiesSurgical Wound InfectionTreatment OutcomeAnterior resectionCancer surgeryConversion to openLaparoscopic rectal surgeryMorbid obesityObesityRobotic rectal surgery

Identifiers

PMID36269488
PMCPMC10076395
OpenAlexW4306965473

What OpenQuestion holds

Textmetadata
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.