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Domain-Specific Outcome Measures in Clinical Trials of Therapies Promoting Stroke Recovery: A Suggested Blueprint.
Cramer, Steven C; Lin, David J; Finklestein, Seth P.
Afiliación
  • Cramer SC; Department of Neurology, University of California, Los Angeles; and California Rehabilitation Institute, Los Angeles (S.C.C.).
  • Lin DJ; Department of Neurology, Stroke Service (D.J.L., S.P.F.), Massachusetts General Hospital, Harvard Medical School, Boston.
  • Finklestein SP; Division of Neurocritical Care, Center for Neurotechnology and Neurorecovery (D.J.L), Massachusetts General Hospital, Harvard Medical School, Boston.
Stroke ; 54(3): e86-e90, 2023 03.
Article en En | MEDLINE | ID: mdl-36848418
ABSTRACT
Different deficits recover to different degrees and with different time courses after stroke, indicating that plasticity differs across the brain's neural systems after stroke. To capture these differences, domain-specific outcome measures have received increased attention. Such measures have potential advantages over global outcome scales, which combine recovery across many domains into a single score and so blur the ability to capture individual measures of stroke recovery. Use of a global end point to rate disability can overlook substantial recovery in specific domains, such as motor or language, and may not differentiate between good and poor recovery for specific neurological domains. In light of these points, a blueprint is proposed for using domain-specific outcome measures in stroke recovery trials. Key steps include selecting a domain in the context of preclinical data, picking a domain-specific clinical trial end point, anchoring inclusion criteria to this end point, scoring this end point both before and after treatment, and then pursuing regulatory approval on the basis of the domain-specific results. This blueprint is intended to foster clinical trials that, by using domain-specific end points, are able to demonstrate favorable results in clinical trials of therapies that promote stroke recovery.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Accidente Cerebrovascular Idioma: En Revista: Stroke Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Accidente Cerebrovascular Idioma: En Revista: Stroke Año: 2023 Tipo del documento: Article