高级检索
当前位置: 首页 > 详情页

Resilience index improves prediction of 1-year decreased quality of life in breast cancer

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE ◇ SSCI

机构: [1]Guangdong Academy of Population Development, Guangzhou 510600, Guangdong Province, China [2]Institute of Tumor, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China [3]School of Nursing, Yale University, Orange, CT 06477, USA [4]School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR [5]Basic Medical School, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, Guizhou Province, China [6]Army Medical University, Chongqing Municipality 400038, China [7]The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, Guangdong Province, China [8]South China University of Technology, Guangzhou 510641, Guangdong Province, China [9]Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China
出处:
ISSN:

关键词: Resilience index 1-year quality of life Breast cancer Risk factors Prediction model Nomogram Multicenter cohorts

摘要:
Background Resilience is important in cancer survivorship and has great potential to predict long-term quality of life (QoL) in breast cancer. The study was designed to develop a new prediction model to estimate pretest probability (PTP) of 1-year decreased QoL combing Resilience Index (RI) and conventional risk factors. Methods RI was extracted from 10-item Resilience Scale Specific to Cancer (RS-SC-10) based on the Principal Component Analysis (PCA). Patients were enrolled from Be Resilient to Breast Cancer (BRBC) and the prediction model was developed based on a sample of 506 consecutive patients and validated in an internal cohort (N1 = 314) and two external cohorts (N2 = 223 and N3 = 189). Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental value of RI. Results RI improved prediction above conventional risk factors. AUC increased from 0.745 to 0.862 while IDI and NRI were 8.39% and 18.44% respectively (P < 0.0001 for all). Five predictors were included in the final model: RI, age, N stage, M stage, and baseline QoL. The new model demonstrated good calibration ability in the internal and external cohorts resulting in C-indexes of 0.862 (95%CI, 0.815-0.909), 0.828 (95%CI, 0.745-0.910), 0.880 (95%CI, 0.816-0.944), and 0.869 (95%CI, 0.796-0.941). Conclusion RI contributed to a more accurate estimation for PTP of 1-year decreased QoL above conventional risk factors and could help optimize decision making of treatment for breast cancer. Implications for cancer survivors A promising prognostic indicator of RI could improve QoL-related management in Chinese patients with breast cancer.

基金:
语种:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2022]版:
大类 | 2 区 医学
小类 | 2 区 社会问题 3 区 肿瘤学
最新[2025]版:
大类 | 2 区 医学
小类 | 3 区 肿瘤学 3 区 社会问题
JCR分区:
出版当年[2021]版:
Q1 SOCIAL ISSUES Q3 ONCOLOGY
最新[2023]版:
Q1 SOCIAL ISSUES Q2 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者:
第一作者机构: [1]Guangdong Academy of Population Development, Guangzhou 510600, Guangdong Province, China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:2022 今日访问量:0 总访问量:648 更新日期:2024-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 广东省中医院 技术支持:重庆聚合科技有限公司 地址:广州市越秀区大德路111号