Evidence map›Paper›PMID 38405217›Full record

ArticleJSLS : Journal of the Society of Laparoendoscopic Surgeons

Early Experience with the Senhance Surgical System in Bariatric Surgery.

Tuan Tran, Francisco Irizarry, Shreya Gunda, Denise Danos, Michael Cook

Abstract read
In one paragraph

Article in JSLS : Journal of the Society of Laparoendoscopic Surgeons. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tuan TranGeneral surgery, Louisiana Health Sciences Center School of medicine, New Orleans, Louisiana, USA. (all authors).
Francisco IrizarryGeneral surgery, Louisiana Health Sciences Center School of medicine, New Orleans, Louisiana, USA. (all authors).
Shreya GundaGeneral surgery, Louisiana Health Sciences Center School of medicine, New Orleans, Louisiana, USA. (all authors).
Denise DanosGeneral surgery, Louisiana Health Sciences Center School of medicine, New Orleans, Louisiana, USA. (all authors).
Michael CookGeneral surgery, Louisiana Health Sciences Center School of medicine, New Orleans, Louisiana, USA. (all authors).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Robotic-assisted surgery advancements have paralleled growing bariatric surgery demands. The Senhance robotic platform offers an alternative to the da Vinci surgical system but there are limited studies evaluating the Senhance system in bariatric surgery. This study aims to review a single surgeon's experience comparing outcomes between traditional laparoscopic and Senhance-assisted sleeve gastrectomy. Materials and Methods: All sleeve gastrectomies performed laparoscopically, Senhance-assisted, or da Vinci-assisted by a single surgeon at an academic center from January 2019 to July 2021 were retrospectively reviewed. Primary outcomes and quality measures were 30-day complications, operative times and length of stay. Results: A total of 268 patients, including 162 laparoscopic, 92 Senhance, and 14 da Vinci cases, were included. Operative times were significantly longer with Senhance (115.7 min) and da Vinci (122.7 min), compared to laparoscopic (94.8 min, Conclusion: Senhance-assisted sleeve gastrectomy is safe in bariatric surgery and comparable to laparoscopic sleeve gastrectomy with respect to 30-day complications.

Indexed as

Bariatric SurgeryLaparoscopyObesity, MorbidRobotic Surgical ProceduresGastrectomyHumansRetrospective StudiesTreatment OutcomeBariatric surgeryEfficacySenhanceSleeve gastrectomy

Identifiers

PMID38405217
PMCPMC10882192

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.