Evidence map›Paper›PMID 42089087›Full record

ArticleJSLS : Journal of the Society of Laparoendoscopic Surgeons

Long-Term Outcomes and Safety of Robotic Bariatric Surgery.

Vivek Bindal, Dhananjay Pandey, Vijay S Pandey, Amir Iqbal, Aakash Patel, Lakshay Goel, Deepak Kumar

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

7 authors.

Vivek BindalMax Institute of Minimal Access, Bariatric & Robotic Surgery, Max Super Speciality Hospital, Ghaziabad, India.
Dhananjay PandeyMax Institute of Minimal Access, Bariatric & Robotic Surgery, Max Super Speciality Hospital, Ghaziabad, India.
Vijay S PandeyMax Institute of Minimal Access, Bariatric & Robotic Surgery, Max Super Speciality Hospital, Ghaziabad, India.
Amir IqbalMax Institute of Minimal Access, Bariatric & Robotic Surgery, Max Super Speciality Hospital, Ghaziabad, India.
Aakash PatelMax Institute of Minimal Access, Bariatric & Robotic Surgery, Max Super Speciality Hospital, Ghaziabad, India.
Lakshay GoelMax Institute of Minimal Access, Bariatric & Robotic Surgery, Max Super Speciality Hospital, Ghaziabad, India.
Deepak KumarMax Institute of Minimal Access, Bariatric & Robotic Surgery, Max Super Speciality Hospital, Ghaziabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bariatric surgery (BS) is the most effective treatment for sustained weight loss and improvement of obesity-related comorbidities. Robotic BS (RBS) offers enhanced precision and ergonomics; however, local data remain limited. Methods: This retrospective real-world study included consecutive adults (≥18 years) who underwent single-surgeon robotic-assisted primary BS using the da Vinci® Surgical System (October 2012-December 2024), with complete perioperative and follow-up data. Results: A total of 545 patients were analyzed with a mean age of 42.98 ± 11.15 years and a mean body mass index (BMI) of 44.55 ± 6.66 kg/m Conclusions: RBS proved safe, efficient, and effective, with low complications and consistent outcomes, supporting its use for obesity management in high-volume centers.

Indexed as

Bariatric SurgeryObesity, MorbidRobotic Surgical ProceduresAdultFemaleHumansMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesTreatment OutcomeGastrectomy (SG)Grade IV obesity (BMI ≥ 50 kg/m2)One anastomosis gastric bypass (OAGB)Robotic bariatric surgerySleeve Roux-en-Y gastric bypass (RYGB)

Identifiers

PMID42089087
PMCPMC13138694

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.