Tai Patricia, Yu Edward, Shiels Ross, Tonita Jon
Allan Blair Cancer Center, Saskatchewan Cancer Agency, University of Saskatchewan, Saskatchewan, Canada.
BMC Cancer. 2005 Jan 31;5:13. doi: 10.1186/1471-2407-5-13.
Validation of the use of the lognormal model for predicting long-term survival rates using short-term follow-up data.
907 cases of laryngeal cancer were treated from 1973-1977 by radiation and surgery (248), radiation alone (345), and surgery alone (314), in registries of Connecticut and Metropolitan Detroit of the SEER database, with known survival status up to 1999. Phase 1 of this study used the minimum chi-square test to assess the goodness of fit of the survival times of those who died with disease to a lognormal distribution. Phase 2 used the maximum likelihood method to estimate long-term survival rates using short-term follow-up data. In order to validate the lognormal model, the estimated long-term cancer-specific survival rates (CSSR) were compared with the values calculated by the Kaplan-Meier (KM) method using long-term data.
The 25-year CSSR were predicted to be 72%, 68% and 65% for treatments by radiation and surgery, by radiation alone, and by surgery alone respectively, using short-term follow-up data by the lognormal model. Corresponding results calculated by the KM method were: 72+/-3%, 68+/-3% and 66+/-4% respectively.
The lognormal model was validated for the prediction of the long-term survival rates of laryngeal cancer patients treated by these different methods. The lognormal model may become a useful tool in research on outcomes.
验证使用对数正态模型通过短期随访数据预测长期生存率。
1973年至1977年期间,在监测、流行病学和最终结果(SEER)数据库的康涅狄格州和底特律大都会登记处,对907例喉癌患者进行了放射治疗和手术(248例)、单纯放射治疗(345例)和单纯手术(314例)治疗,已知其截至1999年的生存状况。本研究的第一阶段使用最小卡方检验来评估疾病死亡者的生存时间与对数正态分布的拟合优度。第二阶段使用最大似然法通过短期随访数据估计长期生存率。为了验证对数正态模型,将估计的长期癌症特异性生存率(CSSR)与使用长期数据通过Kaplan-Meier(KM)方法计算的值进行比较。
使用对数正态模型的短期随访数据预测,放射治疗和手术、单纯放射治疗、单纯手术治疗的25年CSSR分别为72%、68%和65%。KM方法计算的相应结果分别为:72±3%、68±3%和66±4%。
对数正态模型在预测这些不同方法治疗的喉癌患者的长期生存率方面得到了验证。对数正态模型可能成为研究结局的有用工具。