Assessing the quality of prediction models in healthcare using PROBAST: an evaluation of its use and practical application.

Background And Objectives: Since 2019, the Prediction model Risk Of Bias Assessment Tool (PROBAST: www.probast.org) has supported methodological quality assessments of prediction model studies.

Comparative Effectiveness of Pharmacologic Treatments for the Prevention of Episodic Migraine Headache: A Systematic Review and Network Meta-analysis for the American College of Physicians.

Background: Various treatments for preventing episodic migraine are available.

Purpose: To evaluate the comparative effectiveness and harms of pharmacologic prevention of episodic migraine, focusing on treatments already determined to be superior to placebo.

Data Sources: MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials from inception until April 2024.

Patients' Values and Preferences Regarding Pharmacologic Treatments for the Prevention of Episodic Migraine Headache : A Systematic Review for the American College of Physicians.

Background: Decision making regarding pharmacologic treatments for the prevention of episodic migraine may depend on the importance that patients place on outcomes and specific treatment preferences.

Purpose: To assess patients' values and preferences regarding pharmacologic treatments for the prevention of episodic migraine.

Data Sources: MEDLINE and CINAHL from inception to April 2024.

Multitiered Proteome Analysis Displays the Hyperpermeability of the Rheumatoid Synovial Compartment for Plasma Proteins.

Rheumatoid arthritis (RA) is characterized by synovial hyperplasia and cartilage/bone destruction. RA affects the synovial joints, the synovial lining, and the permeability of the synovium. As the latter is of central relevance for the distribution of systemically delivered therapeutics into synovial fluid (SF), we here assessed the protein composition of paired plasma and SF of patients diagnosed with RA at three distinct levels of depth using mass spectrometric approaches: the "total" proteome, the "total" immunoglobulin G1 (IgG1) antibody repertoire, and the RA-specific anticitrullinated protein IgG1 autoantibody repertoire.

Validation of prognostic models predicting mortality or ICU admission in patients with COVID-19 in low- and middle-income countries: a global individual participant data meta-analysis.

Background: We evaluated the performance of prognostic models for predicting mortality or ICU admission in hospitalized patients with COVID-19 in the World Health Organization (WHO) Global Clinical Platform, a repository of individual-level clinical data of patients hospitalized with COVID-19, including in low- and middle-income countries (LMICs).

Methods: We identified eligible multivariable prognostic models for predicting overall mortality and ICU admission during hospital stay in patients with confirmed or suspected COVID-19 from a living review of COVID-19 prediction models. These models were evaluated using data contributed to the WHO Global Clinical Platform for COVID-19 from nine LMICs (Burkina Faso, Cameroon, Democratic Republic of Congo, Guinea, India, Niger, Nigeria, Zambia, and Zimbabwe).