A real-world clinicopathological model for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer.

Authors:
Fang S; Xia W; Zhang H; Ni C; Wu J and 5 more

Journal:
Front Oncol

Publication Year: 2024

DOI:
10.3389/fonc.2024.1323226

PMCID:
PMC10899694

PMID:
38420013

Journal Information

Full Title: Front Oncol

Abbreviation: Front Oncol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Oncology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Public Welfare Technology Application Research Project of Zhejiang Province (No. LGF21H160030), the Natural Science Foundation of Zhejiang Province (No. LR19H160001), the Natural Science Foundation of Zhejiang Province joint with Zhejiang Society for Mathematical Medicine (NO. LSY19F020002), the Medical and Health Science and Technology Project of Zhejiang Province (NO. 2021KY061, 2023KY046, 2023KY861), and the Natural Science Foundation of China (No. 82073151, 82273275)."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025