A new scoring system for predicting in‐hospital death after lung cancer surgery (the SABCIP score) using a Japanese nationwide administrative database

BACKGROUND: We aimed to develop and validate a new risk scoring tool for predicting in‐hospital mortality after lung cancer surgery. METHODS: We retrospectively identified patients admitted for lung cancer surgery from a nationwide administrative database in Japan and randomly divided them into deri...

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Detalles Bibliográficos
Autores principales: Tahara, Masahiro, Ishimaru, Tomohiro, Fujino, Yoshihisa, Fushimi, Kiyohide, Matsuda, Shinya, Mukae, Hiroshi, Yatera, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930457/
https://www.ncbi.nlm.nih.gov/pubmed/35128811
http://dx.doi.org/10.1111/1759-7714.14343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930457/
https://www.ncbi.nlm.nih.gov/pubmed/35128811
http://dx.doi.org/10.1111/1759-7714.14343

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