Evidence map›Paper›PMID 42387143›Full record

ArticleInternational journal of obesity (2005)2026

Decision tree-based prediction of 5-year weight trajectories after bariatric surgery in adolescents and young adults: a retrospective cohort study from France and Sweden.

Iva Gueorguieva, Celine Lespagnol, Patrick Saux, Kajsa Jarvholm, Erik Stenberg, Estelle Aubry, Jessica Amsellem-Jager, Regis Coutant, Myriam Dabbas, Robert Caiazzo and 11 more

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Article in International journal of obesity (2005), 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

21 authors.

Iva GueorguievaPediatric Endocrine Unit, CHU Lille, Univ Lille, Lille, France. iva.gueorguieva@chu-lille.fr.ORCID http://orcid.org/0000-0002-3562-6973
Celine LespagnolPediatric Endocrine Unit, CHU Lille, Univ Lille, Lille, France.ORCID http://orcid.org/0009-0009-4756-7710
Patrick SauxCNRS, Inria, Centrale Lille, UMR 9189 - CRIStAL, Université de Lille, Lille, France.
Kajsa JarvholmChildhood Obesity Unit, Skane University Hospital, Malmö, Sweden.ORCID http://orcid.org/0000-0002-0779-4910
Erik StenbergDepartment of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID http://orcid.org/0000-0001-9189-0093
Estelle AubryDepartment of Pediatric Surgery Unit, CHU Lille, Université de Lille, Lille, France.
Jessica Amsellem-JagerPediatric Endocrine Unit, CHU Angers, Université d'Angers,, Angers, France.
Regis CoutantPediatric Endocrine Unit, CHU Angers, Université d'Angers,, Angers, France.
Myriam DabbasNutrition Obesity Department, Necker- Enfants Malades University Hospital, Paris, France.ORCID http://orcid.org/0000-0002-5901-3629
Robert CaiazzoTranslational research in diabetes obesity and metabolic diseases, U1190 Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Lille, France.ORCID http://orcid.org/0000-0001-5383-0540
Naziha Khen-DunlopPediatric Surgery Department, AP-HP Centre, Necker- Enfants Malades University Hospital, Paris, France.
Gianpaolo De FilippoAssistance Publique - Hôpitaux de Paris, Hôpital Robert-Debré, Service d'Endocrinologie et Diabétologie, Paris, France.
Ibrahim DagherMinimally Invasive Digestive Surgery, Antoine-Béclère Hospital, Clamart, France.
Beatrice DubernPediatric Nutrition and Gastroenterology Department, Assistance Publique - Hôpitaux de Paris, Hôpital Armand-Trousseau, Sorbonne Université,, Paris, France.ORCID http://orcid.org/0000-0002-0065-5344
Catherine TerrazPediatric Nutrition and Gastroenterology Department, Assistance Publique - Hôpitaux de Paris, Hôpital Armand-Trousseau, Sorbonne Université,, Paris, France.
Gabriele MaggioniTranslational research in diabetes obesity and metabolic diseases, U1190 Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Lille, France.ORCID http://orcid.org/0009-0006-9114-043X
Philippe PreuxCNRS, Inria, Centrale Lille, UMR 9189 - CRIStAL, Université de Lille, Lille, France.
Helene VerkindtTranslational research in diabetes obesity and metabolic diseases, U1190 Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Lille, France.
Naima OukhouyaTranslational research in diabetes obesity and metabolic diseases, U1190 Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Lille, France.
Torsten OlbersDepartment of Biomedical and Clinical Sciences, Department of Surgery, Linköping University, Norrköping, Sweden.ORCID http://orcid.org/0000-0002-7218-3390
François PattouTranslational research in diabetes obesity and metabolic diseases, U1190 Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Univ Lille, Inserm Institut Pasteur Lille, CHU Lille, Lille, France. francois.pattou@univ-lille.fr.ORCID http://orcid.org/0000-0001-8388-3766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic-bariatric surgery is an efficient therapy in selected adolescents with severe obesity. However, predicting the postoperative weight loss is challenging. A machine learning calculator predicting 5-year weight loss trajectory has been developed in adults, based on seven preoperative features. The aim of the present study was to adapt and test it in adolescents.

methodsRetrospective cohort study in patients aged 12-20 years undergoing Roux-en-Y gastric bypass (RYGB), sleeve gastrectomy (SG), or adjustable gastric band (AGB) in France and Sweden between 2001 and 2022. Primary outcome was the accuracy of 5-year BMI prediction, expressed as the median absolute deviation (MAD) between predicted and observed BMI. The model developed in adults, was trained in a subset of 80% of randomly selected adolescents, and secondly tested in the remaining 20%.

resultsWe enrolled a total of 2255 patients (1705 female [75.6%], 12-20 years [median 19]). Five-year follow-up data were available for 59% of French and 38% of Swedish patients. The median (IQR) 5-year total weight loss was 30.2% (23.9-38.6) for RYGB, 23.4% (13.7-32.8) for SG, and 13.4% (0.0-30.1) for AGB. The adapted model predicted the observed 5-year BMI with a MAD of 3.7 kg/m² (95% CI [3.3-3.9]). The accuracy of the model was maximal for bypass (3.2 kg/m² [3.0-3.7]), good for SG (3.9 kg/m² [3.1-5.0]), and lower for AGB (7.3 kg/m² [5.5-8.4]), and accuracy decreased with time and in adolescents under 19 years. Age, height, weight, and type of intervention influenced 5-year weight loss. Type 2 diabetes influenced weight loss until 2 years after surgery, but not later.

conclusionThe model had an acceptable accuracy for adolescents to predict 5-year postoperative weight loss trajectory. Accuracy decreased over time and was influenced by type of intervention and age. This calculator is available online: https://bariatric-weight-trajectory-prediction.univ-lille.fr/ .

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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.