Gravedona

Researchers are evaluating outcomes and their predictors in various neurosurgical conditions using standardized measures agreed upon by multiple centers. The goal is to improve research quality, enable data comparison, and create a common language for routine clinical practice. This approach aims to influence therapeutic decisions and provide more precise guidance to patients undergoing neurosurgery by identifying clinical, cognitive, and psychological factors before and after surgery. The study collects pre- and postoperative clinical, cognitive, and psychological data from patients with a wide range of neurosurgical pathologies including tumors, vascular, traumatic, spinal, functional, peripheral nervous system, and malformative conditions. Data collection includes sociodemographic information, medical history, comorbidities, anesthesiological details, and complications. Enrollment occurs through Neurosurgery Departments, and follow-up timing varies by pathology. Artificial intelligence will be used to analyze associations between preoperative indicators and postoperative outcomes. Participants are followed for up to five years during which comprehensive data are collected. Assessments include clinical evaluations, cognitive and psychological testing, and monitoring of complications and comorbid conditions. The study aims to describe detailed pre- and postoperative status and to identify predictors of outcomes to aid clinical decision-making. Long-term data collection supports understanding of neurosurgical effectiveness and patient quality of life over time.