TY - JOUR
T1 - Clinical characteristics and outcomes of patients with post-stroke epilepsy
T2 - protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR)
AU - Mishra, Nishant K.
AU - Kwan, Patrick
AU - Tanaka, Tomotaka
AU - Sunnerhagen, Katharina S.
AU - Dawson, Jesse
AU - Zhao, Yize
AU - Misra, Shubham
AU - Wang, Selena
AU - Sharma, Vijay K.
AU - Mazumder, Rajarshi
AU - Funaro, Melissa C.
AU - Ihara, Masafumi
AU - Nicolo, John Paul
AU - Liebeskind, David S.
AU - Yasuda, Clarissa L.
AU - Cendes, Fernando
AU - Quinn, Terence J.
AU - Ge, Zongyuan
AU - Scalzo, Fabien
AU - Zelano, Johan
AU - Kasner, Scott E.
AU - International Post-Stroke Epilepsy Research Consortium (IPSERC)
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023/11/15
Y1 - 2023/11/15
N2 - 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.
AB - 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.
KW - Epilepsy
KW - Patient Reported Outcome Measures
KW - Prognosis
KW - Stroke
KW - Systematic Review
UR - http://www.scopus.com/inward/record.url?scp=85177041816&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2023-078684
DO - 10.1136/bmjopen-2023-078684
M3 - Article
C2 - 37968000
AN - SCOPUS:85177041816
SN - 2044-6055
VL - 13
JO - BMJ Open
JF - BMJ Open
IS - 11
M1 - e078684
ER -