Describing the landscape of nutrition- and diet-related randomized controlled trials: meta-research study of protocols published between 2012 and 2022.

Background: Publishing protocols promotes transparency and reproducibility. The scope and methods of protocols for nutrition- and diet-related randomized controlled trials (RCTs) have not been investigated yet.

Objective: Map the landscape of nutrition- and diet-related interventions research.

Cardiovascular and locomotor effects of binary mixtures of common 'bath salts' constituents: Studies with methylone, methylenedioxypyrovalerone and caffeine in rats.

Background And Purpose: The use of 'bath salts' drug preparations has been associated with high rates of toxicity and death. Preparations often contain mixtures of drugs, including multiple synthetic cathinones or synthetic cathinones and caffeine. Little is known about the interactions of 'bath salts' constituents and adverse effects often reported by users.

Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review.

Background: Having a sufficient sample size is crucial when developing a clinical prediction model. We reviewed details of sample size in studies developing prediction models for binary outcomes using machine learning (ML) methods within oncology and compared the sample size used to develop the models with the minimum required sample size needed when developing a regression-based model (N).

Methods: We searched the Medline (via OVID) database for studies developing a prediction model using ML methods published in December 2022.

The TRIPOD-LLM reporting guideline for studies using large language models.

Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.

The translational potential of inflammation-induced skin blister human models in exploring the pathogenesis of periodontitis and its systemic health implications.

Periodontitis is a highly prevalent chronic disease. Despite decades of extensive research on the topic, a complete understanding of its immunopathogenesis, especially when linked to other inflammatory comorbidities, is lacking. human and animal experiments have shown the host inflammatory response's crucial role in both the disease's onset and its systemic implications.