University of Würzburg, Department of Nuclear Medicine, Würzburg, Germany.
Clin Endocrinol (Oxf). 2010 Jun;72(6):830-8. doi: 10.1111/j.1365-2265.2009.03734.x. Epub 2009 Oct 31.
To identify and compare prognostic classification systems based on basic tumour characteristics that were developed and/or validated for differentiated thyroid carcinoma (DTC).
Retrospective chart study.
Literature was studied using PubMed. Fifteen different prognostic classification systems were identified, of which seven were developed or validated for DTC patients and were based on basic tumour characteristics. These systems were applied to 1225 DTC patients who were treated in our hospital between 1978 and 2002.
Log-rank analysis of Kaplan-Meier cancer-specific survival curves showed that the curve of the Tumor, Lymph-Node, Metastasis (TNM) system had the greatest discriminatory power (log-rank test, log P = -84.9). Cox-regression analysis showed that the TNM system was the most powerful determinant of cancer-specific survival curves. Proportion of variance explained (PVE) analysis showed that the TNM system had the highest PVE.
Of the prognostic classification systems analysed in this study, the TNM system performs best in all the three analyses, and is therefore the most suitable for predicting outcome in DTC-patients.
识别和比较基于基本肿瘤特征的分化型甲状腺癌(DTC)的预后分类系统,这些系统是为 DTC 开发和/或验证的。
回顾性图表研究。
使用 PubMed 研究文献。确定了 15 种不同的预后分类系统,其中 7 种是针对 DTC 患者开发或验证的,基于基本肿瘤特征。将这些系统应用于 1978 年至 2002 年在我院治疗的 1225 例 DTC 患者。
Kaplan-Meier 癌症特异性生存曲线的对数秩分析显示,TNM 系统的曲线具有最大的判别能力(对数秩检验,log P =-84.9)。Cox 回归分析显示,TNM 系统是癌症特异性生存曲线的最强决定因素。方差解释比例(PVE)分析显示,TNM 系统具有最高的 PVE。
在本研究分析的预后分类系统中,TNM 系统在所有三个分析中表现最佳,因此最适合预测 DTC 患者的预后。