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

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 associate...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2021-10, Vol.11 (1), p.20055-20055, Article 20055
Main Authors: Kanbayashi, Yuko, Sakaguchi, Koichi, Ishikawa, Takeshi, Takayama, Koichi, Taguchi, Tetsuya
Format: Article
Language:English
Subjects:
692/163
692/308
692/4028
692/499
692/700
Adult
Aged
Antineoplastic Agents - adverse effects
Body mass index
Breast cancer
Breast Neoplasms - drug therapy
Breast Neoplasms - pathology
Female
Follow-Up Studies
Humanities and Social Sciences
Humans
Logistic Models
Middle Aged
multidisciplinary
Neutropenia
Neutropenia - chemically induced
Neutropenia - diagnosis
Patients
Piperazines - adverse effects
Prognosis
Pyridines - adverse effects
Regression analysis
Retrospective Studies
Science
Science (multidisciplinary)
Statins
Terminology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-99504-5