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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Oncol. Apr 24, 2025; 16(4): 102208
Published online Apr 24, 2025. doi: 10.5306/wjco.v16.i4.102208
Published online Apr 24, 2025. doi: 10.5306/wjco.v16.i4.102208
Construction of a nomogram-based risk prediction model for depressive symptoms in middle-aged and young breast cancer patients
Ye Mao, Rui-Xin Shi, Lei-Ming Gao, School of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China
An-Ying Xu, School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China
Jia-Ning Li, Bei Wang, Department of Nursing, Province Academy of Traditional Chinese Medicine, Nanjing 210028, Jiangsu Province, China
Bei Wang, Department of Nursing, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, Jiangsu Province, China
Jun-Yuan Wu, Department of Critical Care Medicine, Province Academy of Traditional Chinese Medicine, Nanjing 210028, Jiangsu Province, China
Co-corresponding authors: Bei Wang and Jun-Yuan Wu.
Author contributions: Mao Y designed the research and wrote the paper; Mao Y, Wang B, Wu JY, and Li JN conceived the work; Shi RX and Gao LM performed data acquisition; Mao Y and Xu AY analyzed and interpreted the data; Wang B, Wu JY, and Li JN performed critical revision of the manuscript. All authors have read the article and approved the submitted version. Designating Wang B and Wu JY as co-corresponding authors is justified due to their significant and distinct contributions to this research. Wang B, with her expertise in breast cancer, played a critical role in the conceptualization and methodology of the study, ensuring its alignment with current academic standards. Meanwhile, Wu JY contributed extensively in statistical analysis, leading the data analysis and interpretation phases, which were essential for drawing robust conclusions. This dual leadership reflects an equitable distribution of responsibilities and recognizes the collaborative nature of our interdisciplinary project. Having two points of contact not only facilitates continuous support for peer reviewers and future inquiries from readers but also enhances the accessibility and responsiveness of our research team. It promotes a culture of collaboration and acknowledges the equal contributions of both authors, thereby upholding academic integrity and fairness.
Supported by Jiangsu Provincial Cadre Healthcare Scientific Research Grant Project, No. BJ23019; Jiangsu Provincial Association of Maternal and Child Healthcare Scientific Research Grant Project, No. FYX202350; Special Fund for the Project of Enhancing Academic Capability of Integrative Nursing, No. ZXYJHHL-K-2023-M20; Jiangsu Provincial Graduate Student Practice and Innovation Program Project, No. SJCX24_0833; and the Training Project for Backbone Talents in Traditional Chinese Medicine Nursing in Nanjing Region, No. Ningwei Zhongyi[2023] No. 8.
Institutional review board statement: This study was approved by the Ethics Committee of the Jiangsu Provincial Hospital of Integrated Traditional Chinese and Western Medicine (Approval No. 2023-LWKYZ-075).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: We have no financial relationships to disclose.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: Technical appendix, statistical code, and dataset are available from the corresponding author at wwthk1998@163.com.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Bei Wang, Department of Nursing, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, No. 100 Hongshan Road, Qixia District, Nanjing 210028, Jiangsu Province, China.
Received: October 12, 2024
Revised: January 4, 2025
Accepted: February 14, 2025
Published online: April 24, 2025
Processing time: 165 Days and 8.1 Hours
Revised: January 4, 2025
Accepted: February 14, 2025
Published online: April 24, 2025
Processing time: 165 Days and 8.1 Hours
Core Tip
Core Tip: Breast cancer is the second most common malignancy globally. Young and middle-aged patients have higher recurrence rates, lower survival rates, and increased depression risks. This study analyzed factors influencing depressive symptoms among 360 patients treated at two hospitals in Jiangsu Province, China from November 2023 to April 2024. Key factors included tumor grade, patient income, pain score, family support, and physical activity. The predictive model showed an receiver operating characteristic curve of 0.852, aiding early identification and prevention of depression in this patient group.