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http://dx.doi.org/10.1177/0194599819851463 | DOI Listing |
J Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Objective: To provide an updated evaluation of clinical effectiveness and sequelae of maxillomandibular advancement surgery in obstructive sleep apnea.
Data Sources: PubMed, Scopus, CINAHL.
Review Methods: Included studies described patients with obstructive sleep apnea that completed maxillomandibular advancement with any reported sequelae.
Phytother Res
January 2025
College of Veterinary Medicine, Yangzhou University, Yangzhou, China.
The rising prevalence of multidrug-resistant (MDR) Gram-positive bacteria threatens the effectiveness of current antibiotic therapies. However, the development of new antibiotics has stagnated in recent years, highlighted the critical need for the discovery of innovative antimicrobial agents. This study aims to evaluate the antibacterial activity of naphthoquinones derived from Arnebia euchroma (Royle) Johnst (ADNs) and elucidate their underlying mechanisms.
View Article and Find Full Text PDFJ Agromedicine
January 2025
ICAR, Central Marine Fisheries Research Institute, FRAEED, Ernakulam, India.
Objective: Marine fishing ranks among the most hazardous occupations globally, with risks intensifying for small-sized vessels venturing deeper into the sea due to the scarcity of near-shore fish and high market demand. This study identifies various occupational hazards and the use of safety equipment among small-scale motorized fishers using traditional fishing methods in the southernmost coastal regions of India.
Methods: The primary data were collected from 253 artisanal small-scale motorized fishers through a multi-stage stratified random sampling method.
Hum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
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