ArticleJournal of clinical medicine2019
Genetic Testing to Predict Weight Loss and Diabetes Remission and Long-Term Sustainability after Bariatric Surgery: A Pilot Study.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06226194 (Genetic Susceptibility to Predict Weight Loss After Bariatric Surgery), which is not on this map. Cited by 12 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Genetic Susceptibility to Predict Weight Loss After Bariatric Surgery
Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- The Influence of Single Nucleotide Polymorphisms On Body Weight Trajectory After Bariatric Surgery: A Systematic Review.Current obesity reports · 2023Pooled it
- A Systematic Review of Genetic Correlates of Weight Loss After Bariatric Surgery.Obesity surgery · 2021Pooled it
- Factors associated with weight regain post-bariatric surgery: a systematic review.Surgical endoscopy · 2021Pooled it
- Mechanisms of weight recurrence after bariatric surgery.Nutrition & metabolism · 2026Review
- Article
- Bariatric surgery and diabetes: Current challenges and perspectives.World journal of diabetes · 2024Review
- Survey on Interaction Between Nutrient Status and Selected Polymorphisms in Association with Weight Loss of Patients with Severe Obesity Underwent Bariatric Surgery.Obesity surgery · 2024Article
- Plasma SHBG Levels as an Early Predictor of Response to Bariatric Surgery.Obesity surgery · 2024Article
- Transcriptome Changes and Metabolic Outcomes After Bariatric Surgery in Adults With Obesity and Type 2 Diabetes.Journal of the Endocrine Society · 2023Article
- Combined Effect of Genetic Variants on Long-Term Weight Response after Bariatric Surgery.Journal of clinical medicine · 2023Article
- A Clinical-Genetic Score for Predicting Weight Loss after Bariatric Surgery: The OBEGEN Study.Journal of personalized medicine · 2021Article
- Evaluation of Resting Energy Expenditure in Subjects with Severe Obesity and Its Evolution After Bariatric Surgery.Obesity surgery · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
introductionThe aim of this pilot study was to assess genetic predisposition risk scores (GPS) in type 2 diabetic and non-diabetic patients in order to predict the better response to bariatric surgery (BS) in terms of either weight loss or diabetes remission. RESEARCH DESIGN AND
methodsA case-control study in which 96 females (47 with type 2 diabetes) underwent Roux-en-Y gastric by-pass were included. The DNA was extracted from saliva samples and SNPs were examined and grouped into 3 GPS. ROC curves were used to calculate sensitivity and specificity.
resultsA highly sensitive and specific predictive model of response to BS was obtained by combining the GPS in non-diabetic subjects. This combination was different in diabetic subjects and highly predictive of diabetes remission. Additionally, the model was able to predict the weight regain and type 2 diabetes relapse after 5 years' follow-up.
conclusionsGenetic testing is a simple, reliable and useful tool for implementing personalized medicine in type 2 diabetic patients requiring BS.
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Registered trials
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.