Evidence map›Paper›PMID 35927353›Full record

ArticleSurgical endoscopy2023

Outcome prediction in bariatric surgery through video-based assessment.

Poppy Addison, Daniel Bitner, Katie Carsky, Saratu Kutana, Samuel Dechario, Anthony Antonacci, David Mikhail, Samuel Pettit, Paul J Chung, Filippo Filicori

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Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

10 authors at 2 institutions in 1 country.

Poppy AddisonDepartment of General Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th St, 1st Floor, New York, NY, 10075, USA. paddison@northwell.edu.ORCID 0000-0002-7636-106X
Daniel BitnerIntraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Lenox Hill Hospital, Northwell Health, New York, NY, USA.
Katie CarskyDepartment of General Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th St, 1st Floor, New York, NY, 10075, USA.
Saratu KutanaIntraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Lenox Hill Hospital, Northwell Health, New York, NY, USA.
Samuel DecharioInstitute for Spine and Scoliosis, Lawrenceville, NJ, USA.
Anthony AntonacciNorthwell Health, Manhasset, NY, USA.
David MikhailDepartment of General Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th St, 1st Floor, New York, NY, 10075, USA.
Samuel PettitUniversity of New England College of Osteopathic Medicine, Biddeford, ME, USA.
Paul J ChungDepartment of General Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th St, 1st Floor, New York, NY, 10075, USA.
Filippo FilicoriDepartment of General Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th St, 1st Floor, New York, NY, 10075, USA.
Northwell Health · USNew England College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe relationship between intraoperative surgical performance scores and patient outcomes has not been demonstrated at a single-case level. The GEARS score is a Likert-based scale that quantifies robotic surgical proficiency in 5 domains. Given that even highly skilled surgeons can have variability in their skill among their cases, we hypothesized that at a patient level, higher surgical skill as determined by the GEARS score will predict individual patient outcomes.

methodsPatients undergoing robotic sleeve gastrectomy between July 2018 and January 2021 at a single-health care system were captured in a prospective database. Bivariate Pearson's correlation was used to compare continuous variables, one-way ANOVA for categorical variables compared with a continuous variable, and chi-square for two categorical variables. Significant variables in the univariable screen were included in a multivariable linear regression model. Two-tailed p-value < 0.05 was considered significant.

resultsOf 162 patients included, 9 patients (5.5%) experienced a serious morbidity within 30 days. The average excess weight loss (EWL) was 72 ± 12% at 6 months and 74 ± 15% at 12 months. GEARS score was not significantly correlated with EWL at 6 months (p = 0.349), 12 months (p = 0.468), or serious morbidity (p = 0.848) on unadjusted analysis. After adjusting, total GEARS score was not correlated with serious morbidity (p = 0.914); however, GEARS score did predict EWL at 6 (p < 0.001) and 12 months (p < 0.001). All GEARS subcomponent scores, bimanual dexterity, depth perception, efficiency, force sensitivity, and robotic control were predictive of EWL at 6 months (p < 0.001) and 12 months (p < 0.001) on multivariable analysis.

conclusionFor patients undergoing sleeve gastrectomy, surgical skill as assessed by the GEARS score was correlated with EWL, suggesting that better performance of a sleeve gastrectomy can result in improved postoperative weight loss.

Indexed as

Bariatric SurgeryAnalysis of VarianceDatabases, FactualGastrectomyHumansPrognosisBariatricsOutcomesRoboticsVideo-based assessment

Identifiers

PMID35927353
OpenAlexW4289793250

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.