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Remembering Dana Birksted-Breen.
Int J Psychoanal
December 2024
Institute of Psychoanalysis, London, England.
The effect of eye movement desensitization on neurocognitive functioning compared to retrieval-only in PTSD patients: a randomized controlled trial.
BMC Psychiatry
December 2024
Department of Clinical, Neuro- and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: There is robust evidence that posttraumatic stress disorder (PTSD) is associated with neurocognitive deficits, such as executive dysfunction or memory dysfunction. Eye Movement Desensitization and Reprocessing (EMDR) is an evidence-based treatment for PTSD, in which eye movements (EMs) are performed during traumatic memory retrieval. We examined whether Eye Movement Desensitization (EMD) improves neurocognitive functioning in PTSD patients, in comparison with a retrieval-only control condition without EMs.
View Article and Find Full Text PDFATLAS: A positive, high-yield review of patient symptoms most significantly associated with melanoma recurrence.
J Am Acad Dermatol
December 2024
Wellman Center for Photomedicine, Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts; Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address:
Background: No standardized, evidence-based surveillance practices exist to guide and optimize recurrence detection in patients with cutaneous melanoma.
Objective: To determine the most high-yield positive review of systems for signaling recurrence in patients with cutaneous melanoma.
Methods: This retrospective cohort study assessed patients with a history of cutaneous melanoma and compared demographic and clinical characteristics, including a comprehensive review of systems, among those who experienced recurrence and those who did not.
Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study.
PLOS Digit Health
July 2024
Data Science Institute, Hasselt University, Belgium.
Article Synopsis
- * Machine learning models were applied to predict confirmed disability progression after two years, achieving a ROC-AUC score of 0.71, indicating moderate accuracy, while historical disability was found to be a stronger predictor than treatment or relapse history.
- * The research followed strict guidelines and made its coding accessible for others to facilitate future benchmarking in predicting disability progression in MS patients.
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