Construction and validation of a nomogram prediction model for predicting the risk of chemotherapy-induced myelosuppression after chemotherapy in patients with triple-negative breast cancer: a single-center retrospective case-control study

This study developed a validated nomogram that accurately predicts the risk of CIM in TNBC patients, helping healthcare providers create personalized treatment plans.

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Publication Details

Journal
Translational Cancer Research
Published
2025-05-01
DOI
https://doi.org/10.21037/tcr-24-1513
Citations
3
Primary Topic
Cancer Treatment and Pharmacology
Type
article
Field-Weighted Citation Impact
3.14
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article

Construction and validation of a nomogram prediction model for predicting the risk of chemotherapy-induced myelosuppression after chemotherapy in patients with triple-negative breast cancer: a single-center retrospective case-control study

Haoling Xie, Jie Chu, Rong Zhang, XU Jin-song et al.
3 citations
Translational Cancer Research
Cancer Treatment and Pharmacology
3.14
article

Construction and validation of a nomogram prediction model for predicting the risk of chemotherapy-induced myelosuppression after chemotherapy in patients with triple-negative breast cancer: a single-center retrospective case-control study

Haoling Xie, Jie Chu, Rong Zhang, XU Jin-song, Chunmei Wei, Xuexing Wang
article en
3 citations

Abstract

This study developed a validated nomogram that accurately predicts the risk of CIM in TNBC patients, helping healthcare providers create personalized treatment plans.

Translational Cancer ResearchVol. 14(5)
Kunming Medical University (CN), The First People's Hospital of Guiyang (CN)
Good health and well-being
Openalex Percentile: Top 8%
Cancer Treatment and Pharmacology
3.14
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