Predictors for development of palbociclib-induced neutropenia in breast cancer patients as determined by ordered logistic regression analysis

Autor:	Yuko Kanbayashi, Koichi Sakaguchi, Takeshi Ishikawa, Koichi Takayama, Tetsuya Taguchi
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Medicine Science
Zdroj:	Scientific Reports, Vol 11, Iss 1, Pp 1-5 (2021)
Druh dokumentu:	article
ISSN:	2045-2322
DOI:	10.1038/s41598-021-99504-5
Popis:	Abstract This retrospective study aimed to identify predictors for the development of palbociclib-induced neutropenia. This study retrospectively analysed 78 breast cancer patients who had received palbociclib at our hospital between January 2018 and May 2020. For the regression analysis of factors associated with palbociclib-induced neutropenia, variables were extracted manually from medical charts. The level of palbociclib-induced neutropenia was evaluated using the National Cancer Institute’s Common Terminology Criteria for Adverse Events (version 5). Multivariate ordered logistic regression analysis was performed to identify predictors for the development of neutropenia. Optimal cut-off thresholds were determined using receiver operating characteristic (ROC) analysis. Values of P
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