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External validation of ABCD series scores for predicting early stroke events following transient ischemic attack in a large nationwide registry.
Weng, Jia-Xu; Gu, Hong-Qiu; Wang, Shang; Yang, Kai-Xuan; Yang, Xin; Wang, Chun-Juan; Meng, Xia; Zhao, Xing-Quan; Wang, Yong-Jun; Li, Zi-Xiao.
  • Weng JX; Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Gu HQ; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Wang S; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Yang KX; Neurocardiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Yang X; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Wang CJ; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Meng X; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Zhao XQ; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Wang YJ; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Li ZX; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Eur Stroke J ; 7(4): 439-446, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36478753
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article