National Research Institute for Child Health and Development, Tokyo, Japan.
J Clin Oncol. 2013 Feb 1;31(4):468-74. doi: 10.1200/JCO.2012.42.4457. Epub 2012 Dec 26.
The purpose of this study was to evaluate the probability of death for patients with thyroid cancer and construct a comprehensive nomogram based on a competing risks model to predict cumulative incidence of death resulting from thyroid cancer, other cancers, and non-cancer-related causes.
Patients diagnosed with thyroid cancer between 1988 and 2003 were selected for the study from the Surveillance, Epidemiology, and End Results program. We estimated probabilities of death resulting from thyroid cancer, other cancers, and noncancer causes and analyzed associations of patient and tumor characteristics with probability of death. A nomogram for predicting probability of death was built using a proportional subdistribution hazard competing risks model.
The entire cohort comprised 29,225 patients with malignant thyroid cancer. Median duration of follow-up until censoring or death was 85 months (range, 0 to 239 months). Five-year probabilities of death resulting from thyroid cancer, other cancer, and noncancer causes were 1.9%, 0.8%, and 1.7%, respectively. Increasing age and tumor size, male sex, poorly differentiated carcinoma, lymph node involvement, and regional and metastatic disease were associated with increased cumulative incidence of death resulting from thyroid cancer.
A nomogram based on a competing risks model was developed for predicting the probability of death for patients with thyroid cancer. Performance of the model was excellent. This nomogram may be useful for patients and clinicians when predictions are needed.
本研究旨在评估甲状腺癌患者死亡的概率,并构建一个基于竞争风险模型的综合列线图,以预测由甲状腺癌、其他癌症和非癌症相关原因导致的死亡累积发生率。
从监测、流行病学和最终结果计划中选择了 1988 年至 2003 年间被诊断为甲状腺癌的患者进行研究。我们估计了由甲状腺癌、其他癌症和非癌症原因导致的死亡概率,并分析了患者和肿瘤特征与死亡概率的关系。使用比例亚分布风险竞争风险模型构建了预测死亡概率的列线图。
整个队列包括 29225 例恶性甲状腺癌患者。中位随访时间直至删失或死亡为 85 个月(范围,0 至 239 个月)。5 年由甲状腺癌、其他癌症和非癌症原因导致的死亡概率分别为 1.9%、0.8%和 1.7%。年龄增长、肿瘤大小、男性、低分化癌、淋巴结受累、区域和远处转移与甲状腺癌死亡累积发生率的增加相关。
基于竞争风险模型的列线图已被开发用于预测甲状腺癌患者的死亡概率。该模型的性能非常出色。当需要预测时,该列线图可能对患者和临床医生有用。