Publications by authors named "G Silecchia"
Obesity is a chronic disease associated with increased morbidity and mortality and reduced quality of life. Pharmacotherapy can be associated with life style changes in increasing and maintaining weight loss and ameliorating obesity-related complications and comorbidities. In patients affected by obesity and uncontrolled obesity-associated complications or high degrees of BMI (> 40 Kg/m), metabolic bariatric surgery can be a valid therapeutic option.
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- This study compares two popular weight loss surgeries, Roux-en-Y gastric bypass (RYGB) and one anastomosis gastric bypass (OAGB), focusing on how these procedures affect gut microbiota over a two-year period.
- Researchers collected fecal and blood samples from 54 severely obese patients before and after surgery, finding that both procedures led to significant changes in the gut microbiome and overall nutritional parameters.
- The study concludes that while both surgeries resulted in substantial shifts in gut bacteria composition, the specific technique used did not significantly affect these changes, suggesting that gut microbiota could be a potential indicator of post-surgery outcomes.
Predicting Postoperative Length of Stay in Patients Undergoing Laparoscopic Right Hemicolectomy for Colon Cancer: A Machine Learning Approach Using SICE (Società Italiana di Chirurgia Endoscopica) CoDIG Data.
Cancers (Basel)
August 2024
Article Synopsis
- - The study discusses advancements in laparoscopic right hemicolectomy, emphasizing the importance of complete mesocolic excision (CME) and central vascular ligation (CVL) for colon cancer surgery, particularly based on findings from the CoDIG 1 and CoDIG 2 studies in Italy.
- - Researchers aimed to use machine learning techniques (MLTs) to accurately predict the postoperative length of stay (LoS) for patients undergoing this procedure, training algorithms like random forest (RF) and support vector machine (SVM) on large patient datasets.
- - Results showed that the RF algorithm achieved high accuracy in predicting longer stays, with key predictors identified, such as fast-track protocols and drainage, indicating that MLTs could
Purpose: Leaks after sleeve gastrectomy remain a deadly complication significantly affecting outcomes and medical costs. The aim of the present review is to provide an updated decalogue on leak prevention.
Methods: Risk factors of leakage after LSG were examined based on an extensive review of literature (in period time 2016-2024) and summary of evidence was provided using Oxford levels of evidence scale.
Background: The aim of this study was to analyze short-term outcomes focusing on readmissions after laparoscopic bariatric metabolic surgery (BMS) in an Italian academic Bariatric Center of Excellence IFSO-European Chapter (EC).
Methods: This is a retrospective study based on the analysis of a prospectively maintained institutional database. Patients aged between 18 and 65 years who underwent primary BMS and/or revisional BMS (RBMS) between 2012 and 2021 were included.