Evidence map›Paper›PMID 33783678›Full record

ArticleObesity surgery2021

Understanding the Current Role of Robotic-Assisted Bariatric Surgery.

Francesca M Dimou, Nicole Ackermann, Su-Hsin Chang, Dawn Freeman, J Christopher Eagon, Shaina R Eckhouse

Abstract read
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In one paragraph

Article in Obesity surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 37 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Francesca M DimouDepartment of Surgery, Washington University in Saint Louis School of Medicine, 660 South Euclid Ave Campus Box 6109, Saint Louis, MO, 63110, USA. fmdimou@wustl.edu.ORCID 0000-0002-3227-9371
Nicole AckermannDivision of Public Health Sciences, Department of Surgery, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Su-Hsin ChangDivision of Public Health Sciences, Department of Surgery, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Dawn FreemanDepartment of Surgery, Washington University in Saint Louis School of Medicine, 660 South Euclid Ave Campus Box 6109, Saint Louis, MO, 63110, USA.
J Christopher EagonDepartment of Surgery, Washington University in Saint Louis School of Medicine, 660 South Euclid Ave Campus Box 6109, Saint Louis, MO, 63110, USA.
Shaina R EckhouseDepartment of Surgery, Washington University in Saint Louis School of Medicine, 660 South Euclid Ave Campus Box 6109, Saint Louis, MO, 63110, USA.
Washington University in St. Louis · US

Funding

MODELING THE COEXISTENCE OF CHRONIC DISEASES RELATED TO OBESITYR21DK110530 · NIDDK · WASHINGTON UNIVERSITY · PI CHANG, SU-HSIN · 2017 to 2018
$419k
AHRQ HHS K01 HS022330NIDDK NIH HHS R21 DK110530
6 · The paper itself

Abstract

backgroundThe role of robotic surgery in bariatrics remains controversial. Patient selection for robotic surgery is not well-studied. The objective of this study was to identify factors associated with robotic surgery and its temporal trends.

methodsThe Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program database from 2015 to 2018 was used. Adult patients undergoing primary sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) using the laparoscopic or robotic approach were identified. Revisional, hybrid, or those with concomitant procedures were excluded. Logistic regression was conducted to identify factors associated with undergoing robotic-assisted surgery.

resultsAmong 211,568 patients who underwent SG, 9.1% underwent a robotic SG; among 76,805 patients who underwent RYGB, 7.9% of patients underwent a robotic RYGB. During 2015-2018, robotics increased from 7.1 to 11.3% for SG and 7.4 to 8.6% for RYGB. After controlling for patient characteristics, there was still an increasing trend in the use of robotic surgery: SG (multivariable-adjusted odds ratio, aOR, 1.18; 95% confidence interval, CI, 1.17-1.20) and RYGB (aOR, 1.05; 95% CI, 1.03-1.08). For both robotic SG and RYGB, functional status and African American race were associated with undergoing robotic surgery, while races other than White or African American and Hispanic ethnicity were not. Pre-operative IVC filter was associated with robotic SG, while the presence of GERD, diabetes, and COPD were associated with robotic RYGB.

conclusionsRobotic bariatric surgery has increased over time. Our findings identified factors associated with the receipt of robotic surgery. Reasons for these factors require further investigation to better delineate indications for this technology.

Indexed as

Bariatric SurgeryGastric BypassObesity, MorbidRobotic Surgical ProceduresAdultGastrectomyHumansRetrospective StudiesTreatment OutcomeBariatric surgeryObesityRobotic surgeryRoux-en-Y gastric bypassSleeve gastrectomy

Identifiers

PMID33783678
OpenAlexW3141140007

What OpenQuestion holds

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Registered trials

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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.