BACKGROUND: Age is a critical factor in outcome for patients with well-differentiated thyroid cancer. Currently, age 45 years is used as a cutoff in staging, although there is increasing evidence to suggest this may be too low. The aim of this study was to assess the potential for changing the cut point for the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) staging system from 45 years to 55 years based on a combined international patient cohort supplied by individual institutions. METHODS: A total of 9484 patients were included from 10 institutions. Tumor (T), nodes (N), and metastasis (M) data and age were provided for each patient. The group was stratified by AJCC/UICC stage using age 45 years and age 55 years as cutoffs. The Kaplan-Meier method was used to calculate outcomes for disease-specific survival (DSS). Concordance probability estimates (CPE) were calculated to compare the degree of concordance for each model. RESULTS: Using age 45 years as a cutoff, 10-year DSS rates for stage I-IV were 99.7%, 97.3%, 96.6%, and 76.3%, respectively. Using age 55 years as a cutoff, 10-year DSS rates for stage I-IV were 99.5%, 94.7%, 94.1%, and 67.6%, respectively. The change resulted in 12% of patients being downstaged, and the downstaged group had a 10-year DSS of 97.6%. The change resulted in an increase in CPE from 0.90 to 0.92. CONCLUSIONS: A change in the cutoff age in the current AJCC/UICC staging system from 45 years to 55 years would lead to a downstaging of 12% of patients, and would improve the statistical validity of the model. Such a change would be clinically relevant for thousands of patients worldwide by preventing overstaging of patients with low-risk disease while providing a more realistic estimate of prognosis for those who remain high risk.
BACKGROUND: Age is a critical factor in outcome for patients with well-differentiated thyroid cancer. Currently, age 45 years is used as a cutoff in staging, although there is increasing evidence to suggest this may be too low. The aim of this study was to assess the potential for changing the cut point for the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) staging system from 45 years to 55 years based on a combined international patient cohort supplied by individual institutions. METHODS: A total of 9484 patients were included from 10 institutions. Tumor (T), nodes (N), and metastasis (M) data and age were provided for each patient. The group was stratified by AJCC/UICC stage using age 45 years and age 55 years as cutoffs. The Kaplan-Meier method was used to calculate outcomes for disease-specific survival (DSS). Concordance probability estimates (CPE) were calculated to compare the degree of concordance for each model. RESULTS: Using age 45 years as a cutoff, 10-year DSS rates for stage I-IV were 99.7%, 97.3%, 96.6%, and 76.3%, respectively. Using age 55 years as a cutoff, 10-year DSS rates for stage I-IV were 99.5%, 94.7%, 94.1%, and 67.6%, respectively. The change resulted in 12% of patients being downstaged, and the downstaged group had a 10-year DSS of 97.6%. The change resulted in an increase in CPE from 0.90 to 0.92. CONCLUSIONS: A change in the cutoff age in the current AJCC/UICC staging system from 45 years to 55 years would lead to a downstaging of 12% of patients, and would improve the statistical validity of the model. Such a change would be clinically relevant for thousands of patients worldwide by preventing overstaging of patients with low-risk disease while providing a more realistic estimate of prognosis for those who remain high risk.
Authors: Ian Ganly; Iain J Nixon; Laura Y Wang; Frank L Palmer; Jocelyn C Migliacci; Ahmad Aniss; Mark Sywak; Antoine E Eskander; Jeremy L Freeman; Michael J Campbell; Wen T Shen; Fernanda Vaisman; Denise Momesso; Rossana Corbo; Mario Vaisman; Ashok Shaha; R Michael Tuttle; Jatin P Shah; Snehal G Patel Journal: Thyroid Date: 2015-08-12 Impact factor: 6.568
Authors: D P Byar; S B Green; P Dor; E D Williams; J Colon; H A van Gilse; M Mayer; R J Sylvester; M van Glabbeke Journal: Eur J Cancer Date: 1979-08 Impact factor: 9.162
Authors: J Jonklaas; G Nogueras-Gonzalez; M Munsell; D Litofsky; K B Ain; S T Bigos; J D Brierley; D S Cooper; B R Haugen; P W Ladenson; J Magner; J Robbins; D S Ross; M C Skarulis; D L Steward; H R Maxon; S I Sherman Journal: J Clin Endocrinol Metab Date: 2012-04-10 Impact factor: 5.958
Authors: Ashok R Shaha; Jocelyn C Migliacci; Iain J Nixon; Laura Y Wang; Richard J Wong; Luc G T Morris; Snehal G Patel; Jatin P Shah; R Michael Tuttle; Ian Ganly Journal: Surgery Date: 2018-11-08 Impact factor: 3.982
Authors: Panagiotis Asimakopoulos; Ashok R Shaha; Iain J Nixon; Jatin P Shah; Gregory W Randolph; Peter Angelos; Mark E Zafereo; Luiz P Kowalski; Dana M Hartl; Kerry D Olsen; Juan P Rodrigo; Vincent Vander Poorten; Antti A Mäkitie; Alvaro Sanabria; Carlos Suárez; Miquel Quer; Francisco J Civantos; K Thomas Robbins; Orlando Guntinas-Lichius; Marc Hamoir; Alessandra Rinaldo; Alfio Ferlito Journal: Curr Oncol Rep Date: 2020-11-14 Impact factor: 5.075