Management of intracranial meningioma: Outcome analysis and clinico radiological profile of 172 patients.

Background: Meningioma is the most common primary intracranial tumor. This single-center study aimed to analyze the clinicopathological, radiological profile, and outcomes of patients with intracranial meningiomas in terms of functional status, morbidity, mortality, and recurrence-free survival (RFS).

Methods: Patients of intracranial meningioma treated between January 01, 2010, and December 31, 2019, at the Department of Neurosurgery, King George's Medical University, India, were included in this study.

Strengthening Cause of Death Statistics in Selected Districts of 3 States in India: Protocol for an Uncontrolled, Before-After, Mixed Method Study.

Background: Mortality statistics are vital for health policy development, epidemiological research, and health care service planning. A robust surveillance system is essential for obtaining vital information such as cause of death (CoD) information.

Objective: This study aims to develop a comprehensive model to strengthen the CoD information in the selected study sites.

Unveiling the Role of Mechanistic Target of Rapamycin Kinase (MTOR) Signaling in Cancer Progression and the Emergence of MTOR Inhibitors as Therapeutic Strategies.

The mechanistic target of rapamycin kinase (MTOR) is pivotal for cell growth, metabolism, and survival. It functions through two distinct complexes, mechanistic TORC1 and mechanistic TORC2 (mTORC1 and mTORC2). These complexes function in the development and progression of cancer by regulating different cellular processes, such as protein synthesis, lipid metabolism, and glucose homeostasis.

Prognostic Model to Predict Outcome of Adult Patients with Tuberculous Meningitis Undergoing Ventriculoperitoneal Shunt Surgery: A Prospective Observational Study.

Background: The prognosis of adult patients with tuberculous meningitis undergoing ventriculoperitoneal (VP) surgery is not well known. Prognostic models developed to predict the prognosis might help clinicians immensely.

Methods: This was a prospective study.

Using machine learning to identify risk factors for short-term complications following thumb carpometacarpal arthroplasty.

Background: Thumb carpometacarpal (CMC) joint osteoarthritis is among the most common degenerative hand diseases. Thumb CMC arthroplasty, or trapeziectomy with or without tendon augmentation, is the most frequently performed surgical treatment and has a strong safety profile. Though adverse outcomes are infrequent, the ability to predict risk for complications has substantial clinical benefits.