Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Background Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined: 1) associations between economic insecurities and PROs; 2) the impact of screening and addressing economic insecurities during ...
Jay Patel +8 more
wiley +1 more source
Digital tool as speech and language therapy for patients with post-stroke aphasia. [PDF]
Ruiz Ares G +11 more
europepmc +1 more source
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Delivery of Pediatric Student-Led Speech and Language Therapy Services at a University Rehabilitation Clinic in Cyprus: Children Accessing Services. [PDF]
Papastefanou T +5 more
europepmc +1 more source
New Onset of Fibromyalgia After Exposure to a Combat Environment: A Longitudinal Cohort Study
Objective Traumatic life events are hypothesized to be triggers for the onset of fibromyalgia. Posttraumatic stress disorder (PTSD) is a common comorbidity of fibromyalgia. However, limited prospective data are available on the development of fibromyalgia after exposure to high‐magnitude stress.
Jay B. Higgs +15 more
wiley +1 more source
The PD COMM Process Evaluation: Describing Interventions and Implementation in a UK Pragmatic Randomised Controlled Trial of Speech and Language Therapy for People With Parkinson's-Related Dysarthria. [PDF]
Nicoll A +14 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
"We're all in it together": uniting a diverse range of professionals and people with lived experience within the development of a complex, theory-based paediatric speech and language therapy intervention. [PDF]
Rodgers L +9 more
europepmc +1 more source
Outcome measurement in speech and language therapy: a digital journey. [PDF]
Moyse K +5 more
europepmc +1 more source

