PROGNOSTIC FACTORS FOR SURVIVAL IN ADVANCED NON-SMALL-CELL LUNG-CANCER - UNIVARIATE AND MULTIVARIATE ANALYSES INCLUDING RECURSIVE PARTITIONING AND AMALGAMATION ALGORITHMS IN 1,052 PATIENTS
PROGNOSTIC FACTORS FOR SURVIVAL IN ADVANCED NON-SMALL-CELL LUNG-CANCER - UNIVARIATE AND MULTIVARIATE ANALYSES INCLUDING RECURSIVE PARTITIONING AND AMALGAMATION ALGORITHMS IN 1,052 PATIENTS
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DOI：
10.1200/jco.1995.13.5.1221
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发表时间：
1995-05-01
影响因子：
45.3
通讯作者：
KLASTERSKY, J
中科院分区：
文献类型：
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作者：
PAESMANS, M;SCULIER, JP;KLASTERSKY, J
目的：本研究试图根据欧洲合作组10年以上的经验，确定各种治疗前特征对不可切除的非小细胞肺癌患者生存的预后价值，患者和方法：我们将所有符合条件的患者纳入分析（N = 1，052）在一次解码期间登记到欧洲肺癌工作组（ELCWP）进行的七项试验之一的晚期非小细胞肺癌患者，患者接受基于铂衍生物的化疗方案治疗。我们前瞻性地收集了23个变量，并通过单变量和多变量方法进行分析。结果：全球估计的中位生存时间为29周，95%置信区间为27至30周。在单因素分析后，我们应用了两种多变量统计技术。在考克斯回归模型中，选择的解释变量是疾病程度、Karnofsky体力状态、WBC和中性粒细胞计数、皮肤转移、血清钙水平、年龄和性别。这些结果证实了递归分区和合并算法（RECPAM），从而导致分类的患者分为四个同质subgroup.Conclusion：我们通过我们的分析证实了众所周知的独立预后因素的生存的作用，但也确定了中性粒细胞计数的影响，很少研究，使用两种方法：一个经典的考克斯回归模型和RECPAM分析。我们获得的四个亚组的患者分类需要在其他系列中进行验证。(C)1995年，美国临床肿瘤学会。
Purpose: This study attempted to determine the prognostic value for survival of various pretreatment characteristics in patients with nonresectable non-small-cell lung cancer in the context of more than 10 years of experience of a European Cooperative Group,Patients and Methods: We included in the analysis all eligible patients (N = 1,052) with advanced non-small-cell lung cancer registered onto one of seven trials conducted by the European Lung Cancer Working party (ELCWP) during one decode, The patients were treated by chemotherapy regimens based on platinum derivatives. We prospectively collected 23 variables and analyzed them by univariate and multivariate methods.Results: The global estimated median survival time was 29 weeks, with a 95% confidence interval of 27 to 30 weeks. After univariate analysis, we applied two multivariate statistical techniques. In a Cox regression model, the selected explanatory variables were disease extent, Karnofsky performance status, WBC and neutrophil counts, metastatic involvement of skin, serum calcium level, age, and sex. These results were confirmed by application of recursive partitioning and amalgamation algorithms (RECPAM), which led to classification of the patients into four homogeneous subgroups.Conclusion: We confirmed by our analysis the role of well-known independent prognostic factors for survival, but also identified the effect of the neutrophil count, rarely studied, with the use of two methods: a classical Cox regression model and a RECPAM analysis. The classification of patients into the four subgroups we obtained needs to be validated in other series. (C) 1995 by American Society of Clinical Oncology.