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Corrigendum to: Predicting Clinical Outcome After Mechanical Thrombectomy: The GADIS (Gender, Age, Diabetes Mellitus History, Infarct Volume, and Current Smoker) Score [World Neurosurgery 134 (2020) e1130-e1142].
O'Connor, Kyle P; Hathidara, Mausaminben Y; Danala, Gopichandh; Xu, Chao; McCoy, Tressie M; Sidorov, Evgeny V; Zheng, Bin; Bohnstedt, Bradley N; Ray, Bappaditya.
Afiliação
  • O'Connor KP; Department of Neurosurgery, College of Medicine, College of Public Health, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA.
  • Hathidara MY; Department of Neurology, College of Medicine, College of Public Health, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA.
  • Danala G; Department of Electrical Engineering, University of Oklahoma, Norman, Oklahoma, USA.
  • Xu C; Department of Biostatistics and Epidemiology, College of Public Health, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA.
  • McCoy TM; Department of Neurosurgery, College of Medicine, College of Public Health, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA.
  • Sidorov EV; Department of Neurology, College of Medicine, College of Public Health, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA.
  • Zheng B; Department of Electrical Engineering, University of Oklahoma, Norman, Oklahoma, USA.
  • Bohnstedt BN; Department of Neurosurgery, College of Medicine, College of Public Health, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA.
  • Ray B; Department of Neurology, College of Medicine, College of Public Health, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA. Electronic address: Bappaditya.Ray@utsouthwestern.edu.
World Neurosurg ; 138: 606, 2020 06.
Article em En | MEDLINE | ID: mdl-32265169
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article