Risk factors and protective measures for desmoid tumours in familial adenomatous polyposis: retrospective cohort study.

Background: Familial adenomatous polyposis is a cancer-predisposing syndrome caused by germline pathogenic variants of the adenomatous polyposis coli gene, leading to numerous colorectal polyps and a high risk of colorectal cancer. Desmoid tumours have become significant in the management of familial adenomatous polyposis after a colectomy, yet the exact incidence remains undetermined due to a lack of dedicated surveillance.

Methods: This retrospective study accessed data from the prospectively maintained Hereditary Digestive Tumours Registry from 2000 to 2023.

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Introduction: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predictive model for 1-year mortality in patients undergoing complex non-cardiac surgery using a novel machine-learning technique called multi-objective symbolic regression.

The Milan Score Predicts Objective Gastroesophageal Reflux Disease in Patients With Type 2 Esophagogastric Junction.

Introduction: High-resolution manometry (HRM) allows assessment of esophagogastric junction (EGJ) disruption. While type 3 EGJ predicts definitive gastroesophageal reflux disease (GERD), type 2 EGJ is less clearly implicated in GERD pathogenesis. This study aimed to characterize physiologic findings in type 2 EGJ to determine if the HRM-based Milan Score can define GERD within type 2 EGJ.

Factors influencing the colorectal surveillance adherence in Lynch Syndrome: A retrospective monocentric study.

Background: Lynch syndrome (LS), an autosomal dominant disorder resulting from germline pathogenic variants in DNA mismatch repair genes, poses an elevated risk of developing different types of cancer, particularly colorectal and endometrial. Early identification of LS individuals is vital for implementing preventive measures. This study aims to assess the adherence rate of LS individuals to colorectal surveillance and identify influencing factors.