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Clinical characteristics and outcomes of patients with post-stroke epilepsy: protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR).
Mishra, Nishant K; Kwan, Patrick; Tanaka, Tomotaka; Sunnerhagen, Katharina S; Dawson, Jesse; Zhao, Yize; Misra, Shubham; Wang, Selena; Sharma, Vijay K; Mazumder, Rajarshi; Funaro, Melissa C; Ihara, Masafumi; Nicolo, John-Paul; Liebeskind, David S; Yasuda, Clarissa L; Cendes, Fernando; Quinn, Terence J; Ge, Zongyuan; Scalzo, Fabien; Zelano, Johan; Kasner, Scott E.
Afiliação
  • Mishra NK; Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA nishant.mishra@yale.edu.
  • Kwan P; Department of Neuroscience, Monash University, Clayton, Victoria, Australia.
  • Tanaka T; Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan.
  • Sunnerhagen KS; Department of Clinical Neuroscience, University of Gothenburg, Goteborg, Västra Götaland, Sweden.
  • Dawson J; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
  • Zhao Y; Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.
  • Misra S; Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA.
  • Wang S; Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.
  • Sharma VK; Division of Neurology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.
  • Mazumder R; Department of Neurology, University of California Los Angeles, Los Angeles, California, USA.
  • Funaro MC; Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, Connecticut, USA.
  • Ihara M; Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan.
  • Nicolo JP; Department of Neuroscience, Monash University, Clayton, Victoria, Australia.
  • Liebeskind DS; Department of Neurology and Medicine, The University of Melbourne, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
  • Yasuda CL; Department of Neurology, University of California Los Angeles, Los Angeles, California, USA.
  • Cendes F; Department of Neurology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, SP, Brazil.
  • Quinn TJ; Department of Neurology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, SP, Brazil.
  • Ge Z; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
  • Scalzo F; Department of Neuroscience, Monash University, Clayton, Victoria, Australia.
  • Zelano J; Department of Neurology, University of California Los Angeles, Los Angeles, California, USA.
  • Kasner SE; Department of Computer Science, Pepperdine University, Seaver College, Malibu, California, USA.
BMJ Open ; 13(11): e078684, 2023 11 15.
Article em En | MEDLINE | ID: mdl-37968000
ABSTRACT

INTRODUCTION:

Despite significant advances in managing acute stroke and reducing stroke mortality, preventing complications like post-stroke epilepsy (PSE) has seen limited progress. PSE research has been scattered worldwide with varying methodologies and data reporting. To address this, we established the International Post-stroke Epilepsy Research Consortium (IPSERC) to integrate global PSE research efforts. This protocol outlines an individual patient data meta-analysis (IPD-MA) to determine outcomes in patients with post-stroke seizures (PSS) and develop/validate PSE prediction models, comparing them with existing models. This protocol informs about creating the International Post-stroke Epilepsy Research Repository (IPSERR) to support future collaborative research. METHODS AND

ANALYSIS:

We utilised a comprehensive search strategy and searched MEDLINE, Embase, PsycInfo, Cochrane, and Web of Science databases until 30 January 2023. We extracted observational studies of stroke patients aged ≥18 years, presenting early or late PSS with data on patient outcome measures, and conducted the risk of bias assessment. We did not apply any restriction based on the date or language of publication. We will invite these study authors and the IPSERC collaborators to contribute IPD to IPSERR. We will review the IPD lodged within IPSERR to identify patients who developed epileptic seizures and those who did not. We will merge the IPD files of individual data and standardise the variables where possible for consistency. We will conduct an IPD-MA to estimate the prognostic value of clinical characteristics in predicting PSE. ETHICS AND DISSEMINATION Ethics approval is not required for this study. The results will be published in peer-reviewed journals. This study will contribute to IPSERR, which will be available to researchers for future PSE research projects. It will also serve as a platform to anchor future clinical trials. TRIAL REGISTRATION NUMBER NCT06108102.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Epilepsia Tipo de estudo: Systematic_reviews Limite: Adolescent / Adult / Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Epilepsia Tipo de estudo: Systematic_reviews Limite: Adolescent / Adult / Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos