https://scholars.lib.ntu.edu.tw/handle/123456789/394934
標題: | Recursive partitioning analysis of lymph node ratio in breast cancer patients | 作者: | KUO-PIAO CHUNG Chang, Yao-Jen Chung, Kuo-Piao Chen, Li-Ju Chang, Yun-Jau |
公開日期: | 2015 | 卷: | 94 | 期: | 1 | 來源出版物: | Medicine | 摘要: | Lymph node ratio (LNR) is a powerful prognostic factor for breast cancer. We conducted a recursive partitioning analysis (RPA) of the LNR to identify the prognostic risk groups in breast cancer patients. Records of newly diagnosed breast cancer patients between 2002 and 2006 were searched in the Taiwan Cancer Database. The end of follow-up was December 31, 2009. We excluded patients with distant metastases, inflammatory breast cancer, survival <1 month, no mastectomy, or missing lymph node status. Primary outcome was 5-year overall survival (OS). For univariate significant predictors, RPA were used to determine the risk groups. Among the 11,349 eligible patients, we identified 4 prognostic factors (including LNR) for survival, resulting in 8 terminal nodes. The LNR cutoffs were 0.038, 0.259, and 0.738, which divided LNR into 4 categories: very low (LNR?0.038), low (0.038 |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-84921416746&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/394934 |
DOI: | 10.1097/MD.0000000000000208 | SDG/關鍵字: | analytic method; Article; breast cancer; cancer localization; cancer prognosis; cancer size; follow up; high risk population; human; lymph node ratio; major clinical study; mastectomy; outcome assessment; priority journal; recursive partitioning analysis; risk assessment; adult; aged; artificial intelligence; breast tumor; decision tree; epidemiology; female; lymph node; middle aged; mortality; Paget nipple disease; pathology; prognosis; Taiwan; very elderly; Adult; Aged; Aged, 80 and over; Artificial Intelligence; Breast Neoplasms; Carcinoma, Ductal, Breast; Decision Trees; Female; Humans; Lymph Nodes; Middle Aged; Prognosis; Risk Assessment; Taiwan |
顯示於: | 健康政策與管理研究所 |
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