Evidence map›Paper›PMID 35169953›Full record

ArticleObesity surgery2022

Five Year Trends in the Utilization of Robotic Bariatric Surgery Procedures, United States 2015-2019.

Elisa Morales-Marroquin, Shreeya Khatiwada, Luyu Xie, Nestor de la Cruz-Muñoz, Sachin Kukreja, Benjamin Schneider, Faisal G Qureshi, Sarah E Messiah

Abstract read
In one paragraph

Article in Obesity surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
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.

Elisa Morales-MarroquinSchool of Public Health, Dallas, University of Texas Health Science Center, Trinity Towers, 2777 N. Stemmons Freeway, Suite 8400, Dallas, TX, 75207, USA.
Shreeya KhatiwadaSchool of Public Health, Dallas, University of Texas Health Science Center, Trinity Towers, 2777 N. Stemmons Freeway, Suite 8400, Dallas, TX, 75207, USA.
Luyu XieSchool of Public Health, Dallas, University of Texas Health Science Center, Trinity Towers, 2777 N. Stemmons Freeway, Suite 8400, Dallas, TX, 75207, USA.
Nestor de la Cruz-MuñozDepartment of Surgery, University of Miami Miller School of Medicine, Miami, FL, 33166, USA.
Sachin KukrejaDFW Bariatrics and General Surgery, Dallas, TX, 75203, USA.
Benjamin SchneiderDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Faisal G QureshiDivision of Pediatric Surgery, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Sarah E MessiahSchool of Public Health, Dallas, University of Texas Health Science Center, Trinity Towers, 2777 N. Stemmons Freeway, Suite 8400, Dallas, TX, 75207, USA. sarah.e.messiah@uth.tmc.edu.ORCID http://orcid.org/0000-0001-6685-2175

Funding

Socioecological Factors Associated with Ethnic Disparities in Bariatric Surgery Utilization - Diversity Supplement R01MD011686R01MD011686 · NIMHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MESSIAH, SARAH ELIZABETH · 2018 to 2023
$3.6M
NIMHD NIH HHS R01 MD011686
6 · The paper itself

Abstract

purposeRobotic approaches have been steadily replacing laparoscopic approaches in metabolic and bariatric surgeries (MBS); however, their superiority has not been rigorously evaluated. The main goal of the study was to evaluate the 5-year utilization trends of robotic MBS and to compare to laparoscopic outcomes.

methodsRetrospective analysis of 2015-2019 MBSAQIP data. Kruskal-Wallis test/Wilcoxon and Fisher's exact/chi-square were used to compare continuous and categorical variables, respectively. Generalized linear models were used to compare surgery outcomes.

resultsThe use of robotic MBS increased from 6.2% in 2015 to 13.5% in 2019 (N= 775,258). Robotic MBS patients had significantly higher age, BMI, and likelihood of 12 diseases compared to laparoscopic patients. After adjustment, robotic MBS patients showed higher 30-day interventions and 30-day readmissions alongside longer surgery time (26-38 min).

conclusionRobotic MBS shows higher intervention and readmission even after controlling for cofounding variables.

Indexed as

Bariatric SurgeryGastric BypassLaparoscopyObesity, MorbidRobotic Surgical ProceduresHumansRetrospective StudiesTreatment OutcomeUnited StatesLaparoscopic bariatric surgeryMBSRobotic bariatric surgery

Identifiers

PMID35169953
PMCPMC12292007

What OpenQuestion holds

Textmetadata
LicenceTDM
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.