Frailty Screening Using the Risk Analysis Index: A User Guide.

The Risk Analysis Index (RAI) has emerged as the most thoroughly validated and flexible assessment of surgical frailty, proven feasible for at-scale bedside screening and available in a suite of tools, that effectively risk stratifies patients across a wide variety of clinical contexts and data sources. This user guide provides a definitive summary of the RAI's theoretical model, historical development, validation, statistical performance, and clinical interpretation, placing the RAI in context with other frailty assessments and emphasizing some of its advantages. Detailed instructions are provided for each RAI variant, along with a systematic review of existing RAI-related literature.

Impact of disease duration and surgical intervention on arousal networks in temporal lobe epilepsy.

Objective: Epilepsy is a common neurological disease affecting nearly 1% of the global population, and temporal lobe epilepsy (TLE) is the most common type. Patients experience recurrent seizures and chronic cognitive deficits that can impact their quality of life, ability to work, and independence. These cognitive deficits often extend beyond the temporal lobe and are not well understood.

Impact of Genomic Classifiers on Risk Stratification and Treatment Intensity in Patients With Localized Prostate Cancer : A Systematic Review.

Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.

Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.

Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.

Novel Concept of Electrocoagulation and Tumor Cell Implantation: Creation of Minimally Invasive Orthotopic Murine Model of Pancreatic Cancer.

Background: Orthotopic murine models of pancreatic cancer represent an important tool for evaluating treatment strategies. Several genetically modified mouse tumors and xenograft models have been reported. Genetic models have unpredictable growth and variable waiting period, while orthotopic models are operative ones, difficult to create and result in irregular metastasis.