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The inclusion criterion for chronic subdural hematoma is recent bleeding for TBI with CT finding of chronic subdural hematoma candidate for evacuation surgery.\n* Spinal pathology: degenerative cervical (anterior\u002Fposterior), myelopathic, and trauma pathology; instrumented, uninstrumented thoracolumbar pathology (disc pathology, canal pathology), and trauma pathology; oncologic spinal pathology.\n* Functional pathology: Parkinson's disease, spasticity, trigeminal neuralgia, craniofacial pain\u002Falgia, neuropathic pain, tremor, dystonias, obsessive compulsive disorder, drug-resistant epilepsies, depression. Normotensive hydrocephalus.\n* Peripheral nervous system pathology: peripheral nerve compression syndromes, peripheral nerve and plexus tumors, brachial plexus and peripheral nerve trauma (contusion and section)\n* Malformative pathology: Chiari malformation type 1 and craniostenoses including both those framed in malformative syndromes and those not framed in malformative syndromes (monosutural craniostenoses: trigonocephaly, plagiocephaly, scaphocephaly; multisutural craniostenoses). Malformative hydrocephalus.\n* For cognitive and psychological assessment: age 18 years or older; adequate understanding of Italian language; diagnosis of glioma, meningioma, vascular pathology, spinal pathology\n\nExclusion Criteria:\n\n* For cognitive and psychological assessment: patients with psychiatric diseases in history and\u002For taking psychotropic drugs; presence of overt cognitive decline (not due to the injury) in history; patients younger than 18 years old.","ALL","18 Years",{"count":329,"type":330},4500,"ESTIMATED","OBSERVATIONAL","The evaluation of neurosurgical outcomes varies from center to center, and the predictive factors that determine these outcomes are not fully known or shared. This study aims to assess outcomes and their predictors using measures agreed upon by the participating centers. Standardizing the evaluation of outcomes and predictors improves the quality of research, allows for data comparison, and facilitates a \"common language\" in routine clinical practice. Most importantly, it influences therapeutic decisions in various neurosurgical conditions. Clinically, the identified predictors can also be used during preoperative assessments to provide more precise guidance to patients undergoing surgery.",[334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356],"Aneurysms","Arteriovenous Malformations","Cavernomas","Skull Base Tumors","Moyamoya Disease","Dural Fistulas","Subdural Hematoma","Extradural Hematoma","Subarachnoid Hemorrhage","Hydrocephalus","Parkinson&Amp;#39;s Disease","Spasticity","Trigeminal Neuralgia","Craniofacial Pain","Neuropathic Pain","Tremor","Dystonias","Obsessive-compulsive Disorder","Drug-resistant Epilepsy","Depression","Normal Pressure Hydrocephalus","Tumors of Peripheral Nerves","Chiari Malformation Type 1",[358],"Neurosurgery Outcome Artificial Intelligence predictors","2026-03-25",{"date":361,"type":362},"2026-03-30","ACTUAL",{"date":364,"type":362},"2022-12-05",{"date":366,"type":330},"2027-06",{"name":5,"class":6},27]