ReviewReviews in endocrine & metabolic disorders2023
Towards precision medicine in bariatric surgery prescription.
Review in Reviews in endocrine & metabolic disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of Bariatric Surgery on the Expression of Fertility-Related Genes in Obese Women: A Systematic Review ofInternational journal of molecular sciences · 2025Pooled it
- Long-Term Weight Regain Outcome Post-Bariatric Surgery: Key Influencing Factors.Obesity surgery · 2026Article
- Genetic variability in the leptin-melanocortin pathway and its role in weight loss.Molecular metabolism · 2026Review
- Agnostic polygenic prediction of weight loss after bariatric surgery.JCI insight · 2026Article
- Sleeve Gastrectomy Effect on Structural and Functional Myocardium Characteristics and Trpc3, Trpc6, Tgfb1, and Atp2a2 Gene Expression in Rats with Post-Infarction Heart Failure.Bulletin of experimental biology and medicine · 2026Article
- Dynamic magnetic resonance imaging evaluation of stomach geometry modifications after endoscopic sleeve gastroplasty.Surgical endoscopy · 2026Article
- Article
- Review
- Mapping the Nitric Oxide Axis in IVF: Genotype Associations in Antagonist Cycles.International journal of molecular sciences · 2025Article
- Precision Prevention, Diagnostics, and Treatment of Obesity: Pipedream or Reality?Obesity (Silver Spring, Md.) · 2025Review
- Neural pathways to bariatric success: What explainable AI reveals that conventional fMRI methods may miss.Diabetes, obesity & metabolism · 2025Article
- Statistical and Machine Learning Modeling of Psychological, Sociodemographic, and Physical Activity Factors Associated with Weight Regain After Bariatric Surgery.International journal of environmental research and public health · 2025Article
- Article
- Article
- Enhancing nutritional health and patient satisfaction five years after metabolic bariatric surgery with targeted supplementation.Journal of translational medicine · 2025Observational
- Pre-operative DNA methylation marks as predictors of weight loss outcomes after sleeve gastrectomy.Molecular metabolism · 2025Article
- Observational
- The Impact of Early-Stage Chronic Kidney Disease on Weight Loss Outcomes After Gastric Bypass.Obesity surgery · 2023Article
- Diabetic Markers, Five Years after Bariatric Surgery.Middle East journal of digestive diseases · 2023Article
- Phenotyping the obesities: reality or utopia?Reviews in endocrine & metabolic disorders · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 loss after surgery can be highly heterogeneous and is not entirely predictable, particularly in the long-term after intervention. In this review, we present and discuss the available data on patient-related and procedure-related factors that were previously appointed as putative predictors of bariatric surgery outcomes. In addition, we present a critical appraisal of the available evidence on which factors could be taken into account when recommending and deciding which bariatric procedure to perform. Several patient-related features were identified as having a potential impact on weight loss after bariatric surgery, including age, gender, anthropometrics, obesity co-morbidities, eating behavior, genetic background, circulating biomarkers (microRNAs, metabolites and hormones), psychological and socioeconomic factors. However, none of these factors are sufficiently robust to be used as predictive factors. Overall, there is no doubt that before we long for precision medicine, there is the unmet need for a better understanding of the socio-biological drivers of weight gain, weight loss failure and weight-regain after bariatric interventions. Machine learning models targeting preoperative factors and effectiveness measurements of specific bariatric surgery interventions, would enable a more precise identification of the causal links between determinants of weight gain and weight loss. Artificial intelligence algorithms to be used in clinical practice to predict the response to bariatric surgery interventions could then be created, which would ultimately allow to move forward into precision medicine in bariatric surgery prescription.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.