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http://dx.doi.org/10.1136/bmjqs-2024-017996 | DOI Listing |
BMJ Open
September 2025
Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, Chinax
Objectives: This study evaluated the effects of proximal core training on biomechanical risk factors and strength parameters in individuals at high risk of anterior cruciate ligament (ACL) injury (specifically: those exhibiting pathological movement patterns, neuromuscular deficits or biomechanical risk factors) and compared direct versus indirect interventions. We hypothesised that targeted training enhances dynamic knee stabilisation and hip control during high-risk manoeuvres, with direct approaches providing superior biomechanical benefits through neuromuscular control optimisation.
Design: Systematic review and meta-analysis using the Grading of Recommendation, Assessment, Development and Evaluation (GRADE) approach.
J Med Internet Res
September 2025
Faculty of Medicine, The University of Sydney, Sydney, Australia.
Background: Hypertensive disorders of pregnancy (HDP) affect up to 10% of pregnancies and can have adverse short and long-term implications for women and their babies. eHealth interventions include any health service or treatment delivered using the internet and related technology that aims to facilitate, capture, or exchange knowledge. eHealth interventions are increasingly used across many health care settings with improved outcomes.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Background: Bladder cancer represents a significant global health challenge, characterized by poorly understood risk factors. This study aims to synthesize meta-analytical evidence, quantify risk associations, and inform prevention strategies.
Methods: We conducted a comprehensive literature search in PubMed, Embase, Web of Science, and Cochrane Library up to October 2024.
BMJ Oncol
August 2025
Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada.
Background: The advent of artificial intelligence (AI) tools in oncology to support clinical decision-making, reduce physician workload and automate workflow inefficiencies yields both great promise and caution. To generate high-quality evidence on the safety and efficacy of AI interventions, randomised controlled trials (RCTs) remain the gold standard. However, the completeness and quality of reporting among AI trials in oncology remains unknown.
View Article and Find Full Text PDFHealth Econ Policy Law
September 2025
Department of Health Policy, London School of Economics and Political Science, London, UK.
While a substantial amount of evidence exists on factors associated with positive health technology assessment (HTA) outcomes, the evidence on the same regarding rejections is scarce. Using a proprietary dataset of HTA outcomes in seven Organisation for Economic Co-operation and Development (OECD) countries, we empirically examine the factors associated with HTA rejections and study the magnitude of inter-agency differences in technology appraisals. Data were extracted from HTA reports between 2009 and 2020.
View Article and Find Full Text PDF