ArticleCancer management and research2019
A Nomogram To Predict The Overall Survival Of Breast Cancer Patients And Guide The Postoperative Adjuvant Chemotherapy In China.
Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of effects of yoga exercise intervention on sleep quality in breast cancer patients.Frontiers in oncology · 2023Pooled it
- The Developmental Trajectory of Learned Helplessness in Breast Cancer Chemotherapy Patients: A Longitudinal Study Based on Latent Growth Models.Patient preference and adherence · 2026Article
- Latent Profile Analysis of Emotional Expression Conflicts and Associated Influencing Factors in Breast Cancer Patients Receiving Postoperative Chemotherapy.Cancer management and research · 2025Article
- Development of a Prognostic App (iCanPredict) to Predict Survival for Chinese Women With Breast Cancer: Retrospective Study.Journal of medical Internet research · 2022Article
- Nomogram for predicting occurrence and prognosis of liver metastasis in colorectal cancer: a population-based study.International journal of colorectal disease · 2021Article
- Evaluating overall survival and competing risks of survival in patients with early-stage breast cancer using a comprehensive nomogram.Cancer medicine · 2020Article
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Authors and funding
15 authors.
Funding
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Abstract
purposeWe aim to construct a nomogram to predict breast cancer survival and guide postoperative adjuvant chemotherapy in China. PATIENTS AND
methodsA total of 5,504 breast cancer patients from the Tianjin Breast Cancer Cases Cohort were included. Multivariable Cox regression was used to investigate the factors associated with overall survival (OS) and a nomogram was constructed based on these prognostic factors. The nomogram was internal and external validated and the performance was evaluated by area under the curve (AUC) and calibration curve. The partial score was also constructed and stratified them into low, moderate and high-risk subgroups for death according to the tripartite grouping method. Multivariate Cox regression analysis and the propensity score matching method were respectively used to test the association between adjuvant chemotherapy and OS in different risk subgroups.
resultsAge, diameter, histological differentiation, lymph node metastasis, estrogen, and progesterone receptor were incorporated into the nomogram and validation results showed this nomogram was well-calibrated to predict the 3-year [AUC =74.1%; 95% confidence interval (CI): 70.1-78.0%] and 5-year overall survival [AUC =72.3%; 95% CI: 69.6-75.1%]. Adjuvant chemotherapy was negatively associated with death in high risk subgroup [Hazard Ratio (HR) = 0.54; 95% CI: 0.37-0.77;
conclusionNot all of the breast cancer patients benefit equally from chemotherapy. The nomogram could be used to evaluate the overall survival of breast cancer patients and predict the magnitude of benefit and guide adjuvant chemotherapy for breast cancer patients after surgery.
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