Editorial: Journey through bariatric surgery
Bibliographic record
Abstract
Bariatric surgery provides a significant benefit for patients with severe obesity and related diseases, but unfortunately not all the patients achieve the desired weight loss. Moreover, patients may experience a clinically relevant weight regain following a period of initial weight loss [3]. Candidates for BS should be admitted to a comprehensive clinical follow-up program pre-surgery and then followed for the years after. For those patients who can be defined as 'poor responders', a further step of treatment after BS may be needed, and pharmacotherapy could be the choice. As shown by Vinciguerra et al., 2023, Liraglutide, a glucagon-like peptide-1 receptor agonists,was effective in the treatment of 'poor responders' to BS, showing benefits in reducing metabolic syndrome and improving body composition, highlighting how the integration of targeted drug therapies can enhance the effects of surgery in individuals with insufficient weight loss [4]. In the future, newly developed anti-obesity medications (AOMs) could aid in managing obesity and may be used as useful adjuncts for patients who do not experience the desired weight loss following BS.In parallel, the role of vitamin D as a preoperative biomarker has proven crucial for the prevention of post-operative complications. The study from Shang et al., 2024 found that patients with low 25(OH)D levels had a higher risk of post-surgical readmission, indicating the importance of appropriate screening before surgery and vitamin D supplementation to reduce postoperative risks and improve recovery [5]. The U-shaped relationship with 6-month readmission, suggests the importance of keeping the vitamin levels within the desirable range through individualized supplementation. Moreover, this study highlights the importance of a tailored choice to select patients and period of surgery, as shown by the surgery season related to 25(OH)D levels for the risk of readmission.Another example of the importance of considering vitamin deficiencies in patients undergoing BS is illustrated by a case of postoperative Wernicke-Korsakoff syndrome (Bento et al., 2024) [6]. Preoperative nutritional assessment and ongoing supplementation compliance are often underestimated after surgery, although they can lead to serious complications and generate potentially fatal neurological effects. It is evident that BS, although highly effective, requires rigorous nutritional follow-up to reduce the risk of complications and promote safe recovery with desired outcomes.In addition to clinical and nutritional screening, BS also requires a pre-operative psychological assessment. Indeed, outcomes depend not only on the surgical procedure, but also on the psychological well-being of patients, with elements such as anxiety, depression and personality traits profoundly influencing the maintenance of long-term outcomes. A cluster analysis identified two distinct psychological profiles among BS candidates: patients with high levels of depression and eating disorder symptoms; both of whom tend to have greater difficulty in maintaining stable weight loss. Rodolico et al., 2024 suggest that targeted psychological support, could reduce the risk of failure and improve long-term outcomes [7]. Taking these psychological factors into account during the preoperative evaluation is crucial for long-term success following BS.Another key to maintaining the benefits achieved after BS is a healthy lifestyle. Althumiri et al., 2023, stressed how a healthy lifestyle post-bariatric surgery is crucial for maintaining positive outcomes [8]. This comparative analysis of dietary and lifestyle habits between patients living with and without obesity following BS found that a protein-rich diet and reduced smoking were strongly associated with better outcomes and a lower risk of weight regain. This analysis confirmed the importance of encouraging healthy lifestyle habits as part of an integrated care pathway.In the end, the dysfunction of excessive adipose tissue encountered in obesity is confirmed by increased inflammatory biomarkers, possibly contributing to the development of obesity associated comorbidities, such as type 2 diabetes (T2D), cardiovascular and cerebrovascular disease, among others.Biomarker research in this field is burgeoning. Vanin-2 is a biomarker that was highlighted by Geng and colleagues in this Research Topic [9]. Vanin-2 is a protein associated with inflammation of adipose tissue and insulin resistance, that has been shown also to be an effective predictor of BS outcomes. Geng et al., 2023 found that weight loss induced by sleeve gastrectomy resulted in a more significant decrease of Vanin-2 levels compared to weight loss after conventional dietary treatment. Therefore, monitoring Vanin-2 concentrations could help identify patients at risk of weight-loss failure, and to further customise post-operative management, with the ultimate goal of improving long-term outcomes.BS is only one step in the journey of managing patients with obesity, which requires a multidisciplinary and personalised approach to address each patient's challenges. This special issue highlights the importance of an integrated holistic care, including psychological support, in-depth nutritional assessments and continuous monitoring of inflammatory biomarkers. BS, more than an isolated intervention, is a journey to a healthier life, in which every clinical and psychological aspect plays a key role in ensuring sustainable results and a better quality of life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".