Understanding the growing burden of Malignant Pleural Effusion - epidemiology, health care utilization and cost, a Canadian perspective.

Introduction: Malignant Pleural Effusion (MPE) is common in advanced malignancy. Data are needed on health care utilization and costs.

Methods: This population-based retrospective cohort study included patients aged ≥18 years with an MPE diagnosed between January 1, 2004 and December 31, 2018.

Intrauterine metformin exposure and adiposity outcomes in children: a systematic review and meta-analysis.

Objective: The study aims to assess the effect of intrauterine metformin exposure on offspring adiposity measures in childhood.

Design: Systematic review and meta-analysis.

Data Sources: Medline, Embase and Cochrane Central were searched from inception to 4 October 2024.

Confidence intervals of the relative risk and odds ratio can predict when the optimal information size in a meta-analysis is not met.

Objectives: We sought to empirically evaluate whether the width of confidence interval (CI) of the relative risk (RR) and odds ratio (OR) can obviate the need for calculating the optimal information size (OIS) when making Grading of Recommendations Assessment, Development and Evaluation imprecision judgments.

Study Design And Setting: We analyzed a convenience sample of meta-analyses extracted from the Cochrane Database of Systematic Reviews. From each meta-analysis, we calculated OIS based on relative risk reductions (RRRs) of 15%-50% and evaluated the ratio of upper to lower 95% CI boundaries of RR (RR CI ratio) and OR (OR CI ratio).

A Bayesian latent class approach to causal inference with longitudinal data.

Bayesian methods are becoming increasingly in demand in clinical and public health comparative effectiveness research. Limited literature has explored parametric Bayesian causal approaches to handle time-dependent treatment and time-dependent covariates. In this article, building on to the work on Bayesian g-computation, we propose a fully Bayesian causal approach, implemented using latent confounder classes which represent the patient's disease and health status.

Acyl-CoA Thioesterase 1 Contributes to Transition of Steatosis to Metabolic-Associated Steatohepatitis.

Background: Metabolic dysfunction-associated steatohepatitis (MASH) has become the leading cause of chronic liver disease, but there has been no approved pharmacotherapy to date.

Methods: We used a network analysis approach to delineate protein-protein interactions that contribute to the transition from steatosis to MASH, in order to identify and target this transition as a potential pharmacotherapeutic strategy. Acyl-CoA thioesterase 1 (ACOT1) was identified as a critical node in the protein-protein interaction (PPI) network of the transition from steatosis to MASH in patient samples.