Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study.

Background: Smartphones and wearables are revolutionizing the assessment of cognitive and motor function in neurological disorders, allowing for objective, frequent, and remote data collection. However, these assessments typically provide a plethora of sensor-derived measures (SDMs), and selecting the most suitable measure for a given context of use is a challenging, often overlooked problem.

Objective: This analysis aims to develop and apply an SDM selection framework, including automated data quality checks and the evaluation of statistical properties, to identify robust SDMs that describe the cognitive and motor function of people with multiple sclerosis (MS).

The association between depressive symptoms and overweight or obesity in prepubertal children: Findings from the QUALITY cohort.

Background: Youth obesity and depression are public health concerns. Although meta-analyses suggest a positive association between those conditions in adults and adolescents, evidence remains unclear in prepubertal children. We examined the bidirectional associations between levels of depressive symptoms and weight status in 8-10-year-old children with a parental history of obesity, over two years, and whether they differ by sex.

Beliefs regarding the use of imaging among patients with low back pain: A cross-sectional study in the context of a middle-income country.

Introduction: Patients with low back pain may play an active role in the prescription of excessive spine imaging.

Objective: To determine the proportion of patients with low back pain who have beliefs not aligned with current evidence regarding the use of imaging and to identify factors associated with these beliefs.

Design: Secondary analysis of baseline data of a previously published randomized clinical trial.

Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments.

Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment effects vary across patient characteristics. In this article, we extended this model to combine different sources of types in different formats: aggregate data (AD) and individual participant data (IPD) from randomized and non-randomized evidence.

Comparative Effectiveness of Natalizumab, Fingolimod, and Injectable Therapies in Pediatric-Onset Multiple Sclerosis: A Registry-Based Study.

Background And Objectives: Patients with pediatric-onset multiple sclerosis (POMS) typically experience higher levels of inflammation with more frequent relapses, and though patients with POMS usually recover from relapses better than adults, patients with POMS reach irreversible disability at a younger age than adult-onset patients. There have been few randomized, placebo-controlled clinical trials of multiple sclerosis (MS) disease-modifying therapies (DMTs) in patients with POMS, and most available data are based on observational studies of off-label use of DMTs approved for adults. We assessed the effectiveness of natalizumab compared with fingolimod using injectable platform therapies as a reference in pediatric patients in the global MSBase registry.