Yue Zhao1, Guodong Li2, Difan Zheng1, Ming Jia1, Weixing Dai3, Yihua Sun4, Haiquan Chen5. 1. Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China. 2. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Interventional Therapy, Fudan University Shanghai Cancer Center, Shanghai, China. 3. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. 4. Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China. Electronic address: Sun_yihua76@hotmail.com. 5. Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China. Electronic address: hqchen1@yahoo.com.
Abstract
OBJECTIVE: To investigate whether lymph node ratio and log odds ratio can be used for predicting the prognosis of patients with lung adenocarcinoma. METHODS: A total of 1097 patients with lung adenocarcinoma who underwent complete surgical resection and systematic lymph node dissection between 2008 and 2013 were studied retrospectively. Lymph node ratio was calculated as: positive lymph nodes total lymph nodes . Log odds ratio was calculated as: logpositivelymph nodes+0.5total lymph nodes-positive lymph nodes+0.5. Patients were grouped respectively into 4 groups by the use of recursive partitioning according to their lymph node ratio and log odds ratio. Linear trend χ2 test was used for measuring monotonicity and discriminatory power. RESULTS: The 3-year survival rate was 91.0% (89.9%-92.1%) for group 0, 75.2% (71.4%-79.0%) for group 1, 56.5% (51.5%-61.5%) for group 2, and 41.4% (36.4%-46.4%) for group 3 of lymph node ratio, respectively. In addition, the 3-year survival rate was 89.9% (88.7%-91.1%) for group 1, 78.4% (74.4%-82.4%) for group 2, 56.0% (50.9%-61.1%) for group 3, and 41.0% (36.1%-45.9%) for group 4 of log odds ratio, respectively. Univariable and multivariable Cox models identified that both lymph node ratio and log odds ratio were significant prognostic factors for patients' survival. Log-rank test of trend χ2 statistics of both lymph node ratio (P < .001) and log odds ratio (P < .001) showed significant differences. CONCLUSIONS: Both lymph node ratio and log odds ratio can be used as prognostic factors for clinicians to predict patients' prognosis. Copyright Â
OBJECTIVE: To investigate whether lymph node ratio and log odds ratio can be used for predicting the prognosis of patients with lung adenocarcinoma. METHODS: A total of 1097 patients with lung adenocarcinoma who underwent complete surgical resection and systematic lymph node dissection between 2008 and 2013 were studied retrospectively. Lymph node ratio was calculated as: positive lymph nodes total lymph nodes . Log odds ratio was calculated as: logpositivelymph nodes+0.5total lymph nodes-positive lymph nodes+0.5. Patients were grouped respectively into 4 groups by the use of recursive partitioning according to their lymph node ratio and log odds ratio. Linear trend χ2 test was used for measuring monotonicity and discriminatory power. RESULTS: The 3-year survival rate was 91.0% (89.9%-92.1%) for group 0, 75.2% (71.4%-79.0%) for group 1, 56.5% (51.5%-61.5%) for group 2, and 41.4% (36.4%-46.4%) for group 3 of lymph node ratio, respectively. In addition, the 3-year survival rate was 89.9% (88.7%-91.1%) for group 1, 78.4% (74.4%-82.4%) for group 2, 56.0% (50.9%-61.1%) for group 3, and 41.0% (36.1%-45.9%) for group 4 of log odds ratio, respectively. Univariable and multivariable Cox models identified that both lymph node ratio and log odds ratio were significant prognostic factors for patients' survival. Log-rank test of trend χ2 statistics of both lymph node ratio (P < .001) and log odds ratio (P < .001) showed significant differences. CONCLUSIONS: Both lymph node ratio and log odds ratio can be used as prognostic factors for clinicians to predict patients' prognosis. Copyright Â
Authors: Guoshu Bi; Tao Lu; Guangyu Yao; Yunyi Bian; Mengnan Zhao; Yiwei Huang; Yi Zhang; Liang Xue; Cheng Zhan; Hong Fan Journal: Cancer Manag Res Date: 2019-11-06 Impact factor: 3.989