Evidence map›Paper›PMID 39928267›Full record

ArticleObesity surgery2025

Preoperative Body Composition Analysis as a Predictor of Weight Loss Outcomes Following Bariatric Surgery: A Bioelectrical Impedance Study.

Piero Giustacchini, Giuseppe Marincola, Simona Masia, Valentina Milano, Voltjan Sula, Marco Raffaelli

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Article in Obesity surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Piero GiustacchiniAgostino Gemelli University Polyclinic, Rome, Italy. piero.giustacchini@policlinicogemelli.it.
Giuseppe MarincolaAgostino Gemelli University Polyclinic, Rome, Italy. giumar111@gmail.com.
Simona MasiaMater Olbia Hospital, Olbia, Italy.
Valentina MilanoMater Olbia Hospital, Olbia, Italy.
Voltjan SulaMater Olbia Hospital, Olbia, Italy.
Marco RaffaelliAgostino Gemelli University Polyclinic, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBariatric surgery (BS) is an effective intervention for severe obesity, but some patients may experience sub-optimal weight loss. This study investigates the role of preoperative body composition parameters, measured via bioelectrical impedance analysis (BIA), in predicting postoperative weight loss outcomes.

methodsA retrospective analysis was conducted on 102 patients who underwent sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), or one-anastomosis gastric bypass (OAGB) between January 2020 and April 2023. Preoperative body composition metrics, including fat mass (FM), fat-free mass (FFM), body cell mass (BCM), and phase angle (PhA), were correlated with percentages of excess weight loss (%EWL) and total weight loss (%TWL) at 12 months post-surgery.

resultsThe study found that patients with higher preoperative BCM and PhA showed significantly better weight loss outcomes. Specifically, patients with optimal weight loss had a mean BCM of 35.2 ± 3.5 kg and a PhA of 6.1 ± 0.5, whereas those with sub-optimal outcomes had a mean BCM of 29.8 ± 4.2 kg and a PhA of 4.9 ± 0.6 (p < 0.01 for both). Additionally, higher FM was associated with lower %EWL (r =  - 0.40, p < 0.01). Multivariable logistic regression analysis identified BCM (OR 2.1, 95% CI 1.3-3.4) and %FM (OR 0.7, 95% CI 0.5-0.9) as independent predictors of successful weight loss.

conclusionsPreoperative BIA parameters, particularly BCM and %FM, are significantly associated with weight loss outcomes in BS patients. These findings suggest a potential role in guiding pre-surgical patient assessment and tailored care, while acknowledging that this relationship is correlational and not necessarily causal.

Indexed as

Bariatric SurgeryBody CompositionElectric ImpedanceObesity, MorbidWeight LossAdultFemaleGastric BypassHumansMaleMiddle AgedPreoperative PeriodRetrospective StudiesTreatment OutcomeBariatric surgeryBody compositionSub-optimal outcomesWeight loss

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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.