OBJECTIVE: To identify and compare prognostic classification systems based on basic tumour characteristics that were developed and/or validated for differentiated thyroid carcinoma (DTC). DESIGN: Retrospective chart study. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
OBJECTIVE: To identify and compare prognostic classification systems based on basic tumour characteristics that were developed and/or validated for differentiated thyroid carcinoma (DTC). DESIGN: Retrospective chart study. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
Authors: R Michael Tuttle; Hernan Tala; Jatin Shah; Rebecca Leboeuf; Ronald Ghossein; Mithat Gonen; Matvey Brokhin; Gal Omry; James A Fagin; Ashok Shaha Journal: Thyroid Date: 2010-10-29 Impact factor: 6.568
Authors: Daniel Mankarios; Peter Baade; Pip Youl; Robin H Mortimer; Adedayo A Onitilo; Anthony Russell; Suhail A R Doi Journal: Endocrine Date: 2013-10-31 Impact factor: 3.633
Authors: Frederik A Verburg; Uwe Mäder; Markus Luster; Heribert Hänscheid; Christoph Reiners Journal: Eur J Nucl Med Mol Imaging Date: 2015-06-13 Impact factor: 9.236