Evidence mapPaperPMID 42174245Full record

ArticleObesity surgery2026

Incidence and Predictors of Suboptimal Early Weight Loss after Bariatric Procedures.

Maryna Chumakova, Valerie Halpin, Yijun Chen, Ranjan Sudan, Yen-Yi Juo

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Article in Obesity surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Maryna ChumakovaEast Carolina University, Greenville, United States.
Valerie HalpinLegacy Health, Portland, United States.
Yijun ChenUniversity of California, Los Angeles, Los Angeles, United States.
Ranjan SudanDuke University, Durham, United States.
Yen-Yi JuoLegacy Health, Portland, United States. yjuo@lhs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBariatric surgery is the most effective intervention for obesity, but suboptimal early weight loss remains common and challenging to manage. Identifying predictors of early inadequate weight loss is increasingly relevant as glucagon-like peptide-1 (GLP1) therapies emerge as adjunctive treatments.

methodsWe conducted a retrospective cohort study of 166,843 patients with BMI > 30 kg/m² and complete six-month follow-up data from the 2023 MBSAQIP registry. Suboptimal weight loss was defined as < 10% total weight loss (TWL) at six months. Predictors of suboptimal weight loss were assessed using LASSO logistic regression, random forest, and gradient boosting models, considering demographic, clinical, and procedural variables. Model performance was evaluated using the area under the receiver operating characteristic curve (AUROC).

resultsOverall, 12.6% of patients experienced suboptimal weight loss. Incidence was lower for primary surgical procedures (7-13%) compared with endoscopic interventions (34-50%). Across all models, consistent predictors of suboptimal weight loss included female sex, higher baseline BMI, older age, diabetes, and black race. Predictive performance of clinical variables alone was modest (AUROC 0.57-0.60), indicating substantial unexplained variability.

conclusionsSuboptimal early weight loss is common and varies widely between procedures. Baseline demographics and comorbidities can guide preoperative counseling, but additional behavioral, socioeconomic, and genetic factors may be required to improve prediction and guide individualized interventions, including early GLP1 therapy.

Indexed as

Bariatric SurgeryObesity, MorbidWeight LossAdultBody Mass IndexFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedRetrospective StudiesTreatment OutcomeGastric bypassInsufficient weight lossMBSAQIPSleeve gastrectomy

Identifiers

PMID42174245

What Socratic 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 Socratic graph.