Evidence Hub

Flap Valve-Preserving Vertical Sleeve Gastrectomy (INNOVATE-VSG): Clinical Trial Study Protocol

Ninh T. Nguyen, Kishore M. Gadde, R. Mittal

Obesity Surgery, 2025

44 participants · 4 citations

Abstract

Conventional vertical sleeve gastrectomy (cVSG), the most commonly performed bariatric surgery, is associated with low complications, durable weight loss, and significant improvement of many obesity-related comorbidities. However, numerous studies have reported that patients who underwent the cVSG have worsening or new onset (denovo) gastroesophageal reflux disease (GERD) which could be related to a negative effect of the operative procedure on the geometry of the gastroesophageal junction impacting on the function of the native gastroesophageal valve. It is imperative to innovate the cVSG procedure because chronic GERD is a debilitating condition associated with increased risk for Barrett’s esophagus and esophageal cancer. INNOVATE-VSG aims to test whether a modified flap valve-preserving VSG (fvpVSG), compared to cVSG, will be associated with improvement of preexisting GERD. The fvpVSG incorporates the following surgical modifications that strengthen the antireflux barrier: achieving 3 cm intrabdominal esophageal length; repair of the diaphragmatic crura; and preservation of 3 cm length of gastric fundus/cardia during the sleeve gastrectomy procedure which will be used to symmetrically wrap around the distal esophagus (120–160° wrap) to restore the naturally occurring gastroesophageal valve. A total of 44 obese patients (BMI 35–50 kg/m2) with pathologic GERD, confirmed by abnormal acid exposure time (AET), will be randomly assigned to cVSG or fvpVSG in this pilot…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 44 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free