Journal of Epidemiology and Community Health (JECH)

Scalable regionalised quality improvement model for ACS management in resource-limited primary healthcare facilities

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
SciELO

Five-Year Mortality of Surgical and Transcatheter Aortic Valve Replacement in the Real-World Scenario: A Systematic Review and Meta-Analysis of Propensity Score Matching Studies

Introduction: Randomized controlled trials (RCTs) provide evidence of efficacy, while real-world data (RWD) demonstrate effectiveness in real-world practice. We designed a systematic review and ...
jnis.bmj

Impact of stent use on vasospasm occurrence after subarachnoid hemorrhage: a propensity score matching analysis

Objective We hypothesized that stents in stent-assisted coil embolization during endovascular treatment (EVT) may reduce the risk of symptomatic vasospasm following aneurysmal subarachnoid hemorrhage ...
Scientific Research Publishing

How to Explore the Potential of Green Bonds?

1 School of Economics, Shanghai University, Shanghai, China. 2 Institution of Higher Education, Shanghai University, Shanghai, China. 3 Xianda College of Economics & Humanities, Shanghai International ...
Frontiers

Does internet use promote the health of empty-nest older adults in rural China? The mediating role of social participation using a propensity score matching approach

Background: The rapid growth of internet use among older adults in rural China offers a unique opportunity to examine its potential impact on their health. This study seeks to explore the relationship ...
UroToday

Propensity Score Matching Analysis of Differential Outcomes in Holmium Laser Enucleation of the Prostate vs. Robotic-Assisted Simple Prostatectomy - Beyond the Abstract

Benign prostatic hyperplasia (BPH) is a highly prevalent condition that impacts nearly 80% of men over the age of 70, leading to lower urinary tract symptoms (LUTS) and significantly affecting their ...
Frontiers

Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis

Introduction: Machine learning (ML) methods are promising and scalable alternatives for propensity score (PS) estimation, but their comparative performance in disease risk score (DRS) estimation ...