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Neurology
Original research
External validation of risk prediction models for post-stroke mortality in Berlin

Authors

  • Lukas Reitzle Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, GermanyCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany PubMed articlesGoogle scholar articles
  • Jessica L Rohmann Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, GermanyInstitute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany PubMed articlesGoogle scholar articles
  • Tobias Kurth Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany PubMed articlesGoogle scholar articles
  • Heinrich J Audebert Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, GermanyKlinik und Hochschulambulanz für Neurologie, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, Germany PubMed articlesGoogle scholar articles
  • Marco Piccininni Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, GermanyInstitute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, GermanyDigital Health - Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, Potsdam, GermanyDigital Engineering Faculty, University of Potsdam, Potsdam, Germany PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Lukas Reitzle; reitzlel{at}rki.de
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Citation

Reitzle L, Rohmann JL, Kurth T, et al
External validation of risk prediction models for post-stroke mortality in Berlin
BMJ Open 2025;15:e089320. doi: 10.1136/bmjopen-2024-089320

Publication history

  • Received May 27, 2024
  • Accepted May 19, 2025
  • First published June 6, 2025.
Online issue publication 
June 06, 2025
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© Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.