Keywords: prognosis, combination therapy, survival, neutrophil-lymphocyte ratio, NLRĮsophageal cancer is the sixth leading killer of all types of cancer worldwide, 1 with more than 50% of patients worldwide living in China. A nomogram based on prognostic factors can guide personalized treatment and monitor prognosis. A nomogram based on these factors was constructed, and its accuracy was verified.Ĭonclusion: Immunotherapy plus RT resulted in better survival outcomes than immunotherapy alone. Univariate and multifactorial analyses showed that RT, neutrophil-lymphocyte ratios, and tumor differentiation were independently prognostic of OS, with all hazard ratios (HRs) < 1 and all P-values < 0.05. After matching, both median PFS (15.70 months vs 5.70 months, P = 0.002) and median OS (15.72 months vs 12.06 months, P = 0.036) were significantly longer in the RT than in the non-RT group. Results: After propensity matching, all covariates were well balanced in the two groups (all P > 0.05). These factors were used to construct a prognostic nomogram. Following 1:1 propensity score matching, OS and PFS were compared by the Kaplan–Meier method, and factors associated with survival were determined by univariate and multifactorial Cox regression analyses. These patients were divided into two groups, a radiotherapy (RT) group (n = 55) and a non-radiotherapy (non-RT) group (n = 79). Patients and Methods: This study enrolled 134 patients with stage II or higher esophageal cancer treated with chemotherapy (platinum-based agents plus paclitaxel or fluorouracil) and immunotherapy. Purpose: The present study assessed the effects of radiotherapy on overall survival (OS) and progression-free survival time (PFS) in patients with stage II or higher esophageal cancer receiving immunotherapy evaluated factors independently prognostic of OS and PFS in these patients and utilized these factors to establish a prognostic nomogram. Quantiles at times and upper tail quantiles at other times.Yuanliu Nie, 1 Guangyue Yao, 1 Liang Li, 2 Alei Feng, 3 Wentao Zhang, 4 Xiaoying Xu, 5 Qiang Li, 1, 3 Zhe Yang 1, 3ġTumor Research and Therapy Center, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, People’s Republic of China 2Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, People’s Republic of China 3Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China 4Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China 5Shandong First Medical University, College of Basic Medicine, Shandong First Medical University-Shandong Academy of Medical Sciences, Jinan, Shandong, 250000, People’s Republic of ChinaĬorrespondence: Qiang Li Zhe Yang, Tumor Research and Therapy Center, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +86 15053162586 +86 13791089059, Email The formula for a confidence interval with confidence coefficient In the T-test example we verified that the sample seems to come fromĪ normal distribution using a quantile-quantile plot (QQ-plot). How much? Many textbooks use 30 data points as
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