Objective The objective of this retrospective study was to investigate the prognostic factors associated with survival among patients with extensive stage-smal cel lung cancer （ES-SCLC）. Methods Clinical data from 6...Objective The objective of this retrospective study was to investigate the prognostic factors associated with survival among patients with extensive stage-smal cel lung cancer （ES-SCLC）. Methods Clinical data from 66 patients with ES-SCLC diagnosed via histopathology or cytology between July 2005 and July 2009 at Anyang Tumor Hospital （China） were analyzed. Univariate and multivariate Kaplan-Meier, log-rank, and Cox proportional hazard regression analyses were conducted. Results The 12-, 24-, and 36-month survival rates among patients with ES-SCLC were 40.9%, 13.6%, and 6.1%, respectively. The median survival time （MST） was 10 months. Univariate analyses indicated that weight loss, eficacy of first-line chemotherapy, total number of chemotherapy cycles, treatment meth-od, and serum sodium levels significantly influenced survival among patients with ES-SCLC. Multivariate analyses suggested that the eficacy of first-line chemotherapy, total number of chemotherapy cycles, and serum sodium levels were independent prognostic factors associated with survival. Conclusion The eficacy of first-line chemotherapy, total number of chemotherapy cycles, and serum sodium levels are important prognostic factors for patients with ES-SCLC.展开更多
方差分析是生物统计中常采用的一种方法。如何使用统计分析软件进行方差分析来实现对研究结果的快速和科学的处理,获得正确的结论,是生物学研究中重要的一环。本文通过实例介绍了如何使用SPSS(Statistical Package for the Social Scien...方差分析是生物统计中常采用的一种方法。如何使用统计分析软件进行方差分析来实现对研究结果的快速和科学的处理,获得正确的结论,是生物学研究中重要的一环。本文通过实例介绍了如何使用SPSS(Statistical Package for the Social Science or Statistic Products and Service Solution)数据分析工具进行方差分析的方法;实现了数据分析和处理的快捷、准确和直观;与Excel相比,SPSS的统计分析功能更为强大,既有利于提高数据处理效率,又降低了实验成本。展开更多
文摘Objective The objective of this retrospective study was to investigate the prognostic factors associated with survival among patients with extensive stage-smal cel lung cancer （ES-SCLC）. Methods Clinical data from 66 patients with ES-SCLC diagnosed via histopathology or cytology between July 2005 and July 2009 at Anyang Tumor Hospital （China） were analyzed. Univariate and multivariate Kaplan-Meier, log-rank, and Cox proportional hazard regression analyses were conducted. Results The 12-, 24-, and 36-month survival rates among patients with ES-SCLC were 40.9%, 13.6%, and 6.1%, respectively. The median survival time （MST） was 10 months. Univariate analyses indicated that weight loss, eficacy of first-line chemotherapy, total number of chemotherapy cycles, treatment meth-od, and serum sodium levels significantly influenced survival among patients with ES-SCLC. Multivariate analyses suggested that the eficacy of first-line chemotherapy, total number of chemotherapy cycles, and serum sodium levels were independent prognostic factors associated with survival. Conclusion The eficacy of first-line chemotherapy, total number of chemotherapy cycles, and serum sodium levels are important prognostic factors for patients with ES-SCLC.
文摘方差分析是生物统计中常采用的一种方法。如何使用统计分析软件进行方差分析来实现对研究结果的快速和科学的处理,获得正确的结论,是生物学研究中重要的一环。本文通过实例介绍了如何使用SPSS(Statistical Package for the Social Science or Statistic Products and Service Solution)数据分析工具进行方差分析的方法;实现了数据分析和处理的快捷、准确和直观;与Excel相比,SPSS的统计分析功能更为强大,既有利于提高数据处理效率,又降低了实验成本。
