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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044858 | PMC |
| http://dx.doi.org/10.3389/fneur.2021.666657 | DOI Listing |
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Introduction: Anthropometric, demographic, genetic, and clinical features may affect cognitive, behavioral, and functional decline, while clinical trials seldom consider minimal clinically important differences (MCIDs) in their analyses.
Methods: MCIDs were reviewed taking into account features that may affect cognitive, behavioral, or functional decline in clinical trials of new disease-modifying therapies.
Results: The higher the number of comparisons of different confounders in statistical analyses, the lower values will be significant.
The evolution of sports psychiatry: a clinical intersection of mental health and physical activity.
Br J Sports Med
January 2025
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
Efficacy of Pill in Subjective Memory Complaints in Healthy Adults: a protocol of randomized, double-blind, placebo-controlled, parallel-group, clinical trial.
J Pharmacopuncture
December 2024
College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Objectives: Subjective memory complaints, increasingly common among older adults, may indicate early cognitive decline or dementia. , a herbal medicine in Korean medicine, has shown potential cognitive benefits in preclinical studies through neuroprotective and anti-inflammatory properties. Given limited efficacy of current pharmacological treatments for cognitive impairment and growing interest in natural products, investigating extract in humans is warranted.
View Article and Find Full Text PDFAssessing Hwa-byung Vulnerability Using the Hwa-byung Personality Scale: a comparative study of machine learning approaches.
J Pharmacopuncture
December 2024
Department of Korean Neuropsychiatry, Kyung-Hee University Hospital at Gangdong, Seoul, Republic of Korea.
Objectives: To develop and compare machine learning models to classify individuals vulnerable to Hwa-byung (HB) using an existing HB personality scale and to evaluate the efficacy of these models in predicting HB vulnerability.
Methods: We analyzed data from 500 Korean adults (aged 19-44) using HB personality and symptom scales. We used various machine learning techniques, including the random forest classifier (RFC), XGBoost classifier, logistic regression, and their ensemble method (RFC-XGC-LR).
Real-world multicentre cohort study on choices and effectiveness of immunotherapies in NMOSD and MOGAD.
J Neurol Neurosurg Psychiatry
December 2024
Department of Neurology and Institute of Neuroimmunology and MS (INIMS), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Background: Recurrent attacks in neuromyelitis optica spectrum disorders (NMOSDs) or myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) can lead to severe disability. We aimed to analyse the real-world use of immunotherapies in patients with NMOSD and MOGAD, focusing on changes in treatment strategies, effects on attack rates (ARR) and risk factors for attacks.
Methods: This longitudinal registry-based cohort study included 493 patients (320 with aquaporin-4 immunoglobulin G (AQP4-IgG) seropositive NMOSD (65%), 44 with AQP4-IgG seronegative NMOSD (9%) and 129 MOGAD (26%)) with 1247 treatments from 19 German and one Austrian centre from the registry of the neuromyelitis optica study group (NEMOS).
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