Impact of insurance status on MRI phenotypes in MS.

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Title: Impact of insurance status on MRI phenotypes in MS.
Authors: Martin ML; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: martin30@pennmedicine.upenn.edu., Robert-Fitzgerald T; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA., Schindler MK; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA., Perrone C; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA., Schultz G; Data Analytics Center, University of Pennsylvania, Philadelphia, PA 19104, USA., Lynch S; Clinical Research Informatics Core, Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA., Mirkovic N; Clinical Research Informatics Core, Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA., Thomas S; Clinical Research Informatics Core, Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA., Elahi A; Department of Information Services, University of Pennsylvania, Philadelphia, PA 19104, USA., Reid D; Department of Information Services, University of Pennsylvania, Philadelphia, PA 19104, USA., Moore TM; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA., Baller EB; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA., Satterthwaite TD; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA., Cieslak M; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, Perelman School of Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA., Covitz S; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, Perelman School of Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA., Adebimpe A; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA., Manning A; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA., Markowitz CE; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA., Detre JA; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA., Bar-Or A; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA., Kakara M; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA., Shinohara RT; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Source: Multiple sclerosis and related disorders [Mult Scler Relat Disord] 2024 Dec; Vol. 92, pp. 105919. Date of Electronic Publication: 2024 Oct 09.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B. V Country of Publication: Netherlands NLM ID: 101580247 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2211-0356 (Electronic) Linking ISSN: 22110348 NLM ISO Abbreviation: Mult Scler Relat Disord Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2211-0356
DOI:10.1016/j.msard.2024.105919