Corticosteroids in severe alcohol-associated hepatitis? Not so fast: A systematic review of randomized controlled trials.

Background: Severe alcohol-associated hepatitis (AH) is rising in incidence with a high mortality burden. While corticosteroids are recommended for eligible patients with severe AH, no guidance exists for the timing of steroid initiation, tapering regimens, and surveillance of adverse events.

Objective: We aim to systematically review these variables and provide evidence-based recommendations for the inpatient and outpatient management of severe AH.

Characteristics of children and adolescents with multidrug-resistant and rifampicin-resistant tuberculosis and their association with treatment outcomes: a systematic review and individual participant data meta-analysis.

Background: There are few data on the treatment of children and adolescents with multidrug-resistant (MDR) or rifampicin-resistant (RR) tuberculosis, especially with more recently available drugs and regimens. We aimed to describe the clinical and treatment characteristics and their associations with treatment outcomes in this susceptible population.

Methods: We conducted a systematic review and individual participant data meta-analysis.

Evaluation and comparison of infusion reactions related to prophylactic medication timing for taxane administration.

Introduction: Taxane medications, paclitaxel, and docetaxel, are chemotherapy agents that have a higher incidence of reported hypersensitivity and infusion reactions. To help classify these reactions, the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) is utilized. Prophylactic medications have been used to decrease the incidence and severity of these events.

A face-to-face survey on the practice of ophthalmic clinicians in the management of dry eye disease in patients undergoing cataract surgery.

Introduction: Dry eye disease (DED) can impact the accuracy of biometry measurements prior to cataract surgery (CS), influence visual performance post-CS, and can be exacerbated by CS. We performed a survey to evaluate the DED practice of clinicians directly caring for CS patients.

Design: Prospective face-to-face survey.

Predicting Robotic Hysterectomy Incision Time: Optimizing Surgical Scheduling with Machine Learning.

Background And Objectives: Operating rooms (ORs) are critical for hospital revenue and cost management, with utilization efficiency directly affecting financial outcomes. Traditional surgical scheduling often results in suboptimal OR use. We aim to build a machine learning (ML) model to predict incision times for robotic-assisted hysterectomies, enhancing scheduling accuracy and hospital finances.