Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

Background: Stroke is a major cause of mortality and permanent disability worldwide. Precise prediction of post-stroke mortality is essential for guiding treatment decisions and rehabilitation planning. The ability of Machine learning models to process large amounts of data, offer a promising alternative for improving mortality prediction in stroke patients.

The functions and modifications of tRNA-derived small RNAs in cancer biology.

Recent progress in noncoding RNA research has highlighted transfer RNA-derived small RNAs (tsRNAs) as key regulators of gene expression, linking them to numerous cellular functions. tsRNAs, which are produced by ribonucleases such as angiogenin and Dicer, are classified based on their size and cleavage positions. They play diverse regulatory roles at the transcriptional, post-transcriptional, and translational levels.

Relationship Between Intraocular Lens Power and Ocular Refraction Variations.

Objective: To develop a theoretical method to predict the theoretical ratio between changes in intraocular lens (IOL) power (dP) and induced variations in ocular refraction (dR).

Setting: Rothschild Foundation Hospital, Paris, France.

Design: Theoretical study.

The role of antenatal education on maternal self-efficacy, fear of childbirth, and birth outcomes: A systematic review and meta-analysis.

Introduction: Antenatal education programs aim to prepare expectant mothers for childbirth and early parenthood. This meta-analysis assessed the impact of these programs on maternal psychological outcomes and birth experiences, focusing on childbirth self-efficacy, fear of childbirth, and maternal and neonatal outcomes, including rates of vaginal delivery, cesarean section, Apgar scores, and birth weight.

Methods: A systematic search was conducted in PubMed, Web of Science, SCOPUS, and Cochrane Library until July 2024.