[HTML][HTML] Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a …

P Saux, P Bauvin, V Raverdy, J Teigny… - The Lancet Digital …, 2023 - thelancet.com
Background Weight loss trajectories after bariatric surgery vary widely between individuals,
and predicting weight loss before the operation remains challenging. We aimed to develop a …

[HTML][HTML] Towards precision medicine in bariatric surgery prescription

SS Pereira, M Guimarães, MP Monteiro - Reviews in Endocrine and …, 2023 - Springer
Obesity is a complex, multifactorial and chronic disease. Bariatric surgery is a safe and
effective treatment intervention for obesity and obesity-related diseases. However, weight …

[HTML][HTML] Is it possible to predict weight loss after bariatric surgery?—external validation of predictive models

IA Karpińska, J Kulawik, M Pisarska-Adamczyk… - Obesity Surgery, 2021 - Springer
Background Bariatric surgery is the most effective obesity treatment. Weight loss varies
among patients, and not everyone achieves desired outcome. Identification of predictive …

Preoperative factors and 3-year weight change in the Longitudinal Assessment of Bariatric Surgery (LABS) consortium

AP Courcoulas, NJ Christian, RW O'Rourke… - Surgery for Obesity and …, 2015 - Elsevier
Background Limited data guide the prediction of weight loss success or failure after bariatric
surgery according to presurgery factors. There is significant variation in weight change after …

[HTML][HTML] Using machine learning applied to real-world healthcare data for predictive analytics: an applied example in bariatric surgery

SS Johnston, JM Morton, I Kalsekar, EM Ammann… - Value in health, 2019 - Elsevier
Abstract Objectives Laparoscopic metabolic surgery (MxS) can lead to remission of type 2
diabetes (T2D); however, treatment response to MxS can be heterogeneous. Here, we …

Prediction of successful weight reduction after bariatric surgery by data mining technologies

YC Lee, WJ Lee, TS Lee, YC Lin, W Wang, PL Liew… - Obesity surgery, 2007 - Springer
Background: Surgery is the only long-lasting effective treatment for morbid obesity.
Prediction on successful weight loss after surgery by data mining technologies is lacking …

[HTML][HTML] Using Bayesian networks to predict long-term health-related quality of life and comorbidity after bariatric surgery: A study based on the Scandinavian obesity …

Y Cao, M Raoof, E Szabo, J Ottosson… - Journal of clinical …, 2020 - mdpi.com
Previously published literature has identified a few predictors of health-related quality of life
(HRQoL) after bariatric surgery. However, performance of the predictive models was not …

The Dutch bariatric weight loss chart: a multicenter tool to assess weight outcome up to 7 years after sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass

AW van de Laar, SW Nienhuijs, JA Apers… - Surgery for Obesity and …, 2019 - Elsevier
Background Current methods for weight loss assessment after bariatric surgery do not meet
the high standards required to accurately judge patient outcome in a fair and evidence …

Algorithm for weight loss after gastric bypass surgery considering body mass index, gender, and age from the Bariatric Outcome Longitudinal Database (BOLD)

AWJM van de Laar - Surgery for Obesity and Related Diseases, 2014 - Elsevier
Background Insight into the effects of gender and age on bariatric weight loss can be
disturbed by the well-known influence of initial body mass index (BMI) on excess weight loss …

Bariatric Outcomes Longitudinal Database (BOLD) suggests excess weight loss and excess BMI loss to be inappropriate outcome measures, demonstrating better …

A van de Laar - Obesity surgery, 2012 - Springer
Excess weight loss (% EWL) results show significant variation by initial body mass index
(BMI): the heavier the patient, the lower the result. It is unclear whether this effect originates …