Multiple system atrophy (MSA) is a progressive, incurable neurodegenerative disease characterized by the risk of sudden death and various symptoms, including autonomic and cognitive dysfunction, as well as motor symptoms such as cerebellar ataxia and parkinsonism. These clinical features make the diagnosis of MSA challenging for neurologists. Our questionnaire survey on the delivery of an MSA diagnosis revealed that 92.3% of the participating neurologists found it difficult to deliver the diagnosis. However, 82.8% perceived explaining the risk of sudden death to be challenging. Factors independently associated with difficulties in delivering a diagnosis included perceived challenges in the differential diagnosis of MSA, conveying information about the risk of sudden death, and explaining the importance of the family's decision-making process in life-prolonging treatment. Further research is required to develop guidelines for delivering the diagnosis of MSA.
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http://dx.doi.org/10.11477/mf.188160960770030265 | DOI Listing |
Front Bioinform
February 2025
School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Machine learning and genomic medicine are the mainstays of research in delivering personalized healthcare services for disease diagnosis, risk stratification, tailored treatment, and prediction of adverse effects. However, potential prediction errors in healthcare services can have life-threatening impact, raising reasonable skepticism about whether these applications have practical benefit in clinical settings. Conformal prediction offers a versatile framework for addressing these concerns by quantifying the uncertainty of predictive models.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
March 2025
Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Purpose: Assessing risk factors and creating prediction models from real-world medical data is challenging, requiring numerous modelling decisions with clinical guidance. Logistic regression is a common model for such studies, for which we advocate the use of Bayesian methods that can jointly deliver probabilistic risk factor inference and prediction. As an exemplar, we compare Bayesian logistic regression with horseshoe priors and Projective Prediction variable selection with the established frequentist LASSO approach, to predict severe COVID-19 outcomes (death or ICU admittance) from demographic and laboratory biomarker data.
View Article and Find Full Text PDFBMC Musculoskelet Disord
March 2025
Department of Orthopedic, General Hospital of Ningxia Medical University, 804 Shengli South Street, Yinchuan, Ningxia, 750004, China.
Objective: This meta-analysis evaluates the efficacy and safety of various topical dosage forms of diclofenac (gel, solution, and patch) for the treatment of knee osteoarthritis.
Methods: A comprehensive literature search was conducted in PubMed, Embase, Cochrane Library, and Web of Science for randomized controlled trials evaluating topical diclofenac formulations in knee osteoarthritis patients. Data on pain relief, functional outcomes, and adverse events were extracted.
BMC Med Imaging
March 2025
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Background: Diabetic retinopathy is a major cause of vision loss worldwide. This emphasizes the need for early identification and treatment to reduce blindness in a significant proportion of individuals. Microaneurysms, extremely small, circular red spots that appear in retinal fundus images, are one of the very first indications of diabetic retinopathy.
View Article and Find Full Text PDFBrain Nerve
March 2025
Department of Neurology, Graduate School of Medicine, Chiba University.
Multiple system atrophy (MSA) is a progressive, incurable neurodegenerative disease characterized by the risk of sudden death and various symptoms, including autonomic and cognitive dysfunction, as well as motor symptoms such as cerebellar ataxia and parkinsonism. These clinical features make the diagnosis of MSA challenging for neurologists. Our questionnaire survey on the delivery of an MSA diagnosis revealed that 92.
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