Evidence map›Paper›PMID 42521828›Full record

ArticleSurgical endoscopy2026

Beyond initial weight loss: procedure-specific predictors of weight recurrence after metabolic and bariatric surgery.

Tony Boutros, Kamal Abi Mosleh, Nour El Ghazal, Joseph Klim, Noura Jawhar, Meera Shah, Ekta Kapoor, Simon J Laplante, Omar M Ghanem

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Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

9 authors.

Tony BoutrosDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Kamal Abi MoslehDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Nour El GhazalDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Joseph KlimDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Noura JawharDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Meera ShahDivision of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, MN, USA.
Ekta KapoorDivision of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, MN, USA.
Simon J LaplanteDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Omar M GhanemDepartment of Surgery, Mayo Clinic, Rochester, MN, USA. ghanem.omar@mayo.edu.ORCID http://orcid.org/0000-0002-5725-8497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWeight recurrence (WR) after metabolic and bariatric surgery (MBS) remains a significant long-term challenge, yet the preoperative factors that predispose patients to WR may differ across procedures. This study aimed to compare preoperative predictors of WR following sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), and duodenal switch (DS).

methodsThis is a retrospective review of patients undergoing primary SG, RYGB, or DS between 2008 and 2022, with at least 36 months follow-up and achievement of an optimal clinical response ≥ 20% of total weight loss (TWL). Baseline demographic and clinical variables were collected including age, sex, race, preoperative body mass index (BMI), smoking history, and preoperative comorbidities. Postoperative weight measurements were used to calculate TWL and WR outcomes. Statistical analyses included chi-square testing, one-way analysis of variance (ANOVA), and multivariable Cox regression models.

resultsA total of 2207 qualified patients (80% female, mean age 47.8 ± 11.9 years, mean BMI 46.0 ± 8.2 kg/m

conclusionsClinically significant WR occurred in more than half of SG and RYGB patients but was less frequent after DS. Preoperative predictors had limited value and varied by procedure, reinforcing procedure selection as a key modifiable factor in predicting WR risk.

Indexed as

Bariatric SurgeryObesity, MorbidWeight LossAdultFemaleGastrectomyGastric BypassHumansMaleMiddle AgedRecurrenceRetrospective StudiesRisk FactorsBariatric surgeryDuodenal switchPreoperative predictorsRoux-en-Y gastric bypassSleeve gastrectomyWeight recurrence

Identifiers

PMID42521828

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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.