BACKGROUND: Numerous prognostic factors have been studied for survival in patients with papillary thyroid carcinoma (PTC), although there are few multivariate studies that include the histological variety of PTC. HYPOTHESIS: There are prognostic factors that influence survival in a series of patients with PTC, including the histological variety, and a new prognostic index (PI) for survival can be formulated by accounting for these factors. DESIGN: A retrospective study. SETTING: A university hospital department of surgery. PATIENTS: Between January 1970 and December 1995, 200 patients undergoing surgery for PTC were observed (mean follow-up, 8 years). MAIN OUTCOME MEASURES: A univariate analysis was done for survival rates using the Kaplan-Meier estimation method. The possible prognostic factors were evaluated using a multivariate analysis according to the Cox model. We formulated a PI and defined 3 risk groups (low, medium, and high) for mortality. RESULTS: Of the 200 patients, 175 (87.5%) are still alive. Of the 25 deaths, 19 (9.5%) were due to the tumor. The survival was 97.5% at 1 year, 92.8% at 5, 89.5% at 10, and 83.9% at 15 and 20 years. The prognostic factors obtained after the multivariate analysis were age, tumor size, extrathyroid spread, and histological variant of the PTC. The PI is calculated as follows: PI = (2 x size) + (6 x spread) + (2 x variant) + (3 x age). As for the risk groups, the low-risk group showed a mortality of 0%; the medium-risk group, 17.1%; and the high-risk group, 76.5%. CONCLUSIONS: The histological variety of PTC has prognostic value for survival in patients with PTC. As risk factors for PTC mortality, we consider an age of 50 years or older, a tumor larger than 4 cm, the existence of extrathyroid spread, and a certain histological subtype of PTC. With these risk factors, it is possible to formulate a PI and classify patients into low-, medium-, and high-risk groups for mortality.
BACKGROUND: Numerous prognostic factors have been studied for survival in patients with papillary thyroid carcinoma (PTC), although there are few multivariate studies that include the histological variety of PTC. HYPOTHESIS: There are prognostic factors that influence survival in a series of patients with PTC, including the histological variety, and a new prognostic index (PI) for survival can be formulated by accounting for these factors. DESIGN: A retrospective study. SETTING: A university hospital department of surgery. PATIENTS: Between January 1970 and December 1995, 200 patients undergoing surgery for PTC were observed (mean follow-up, 8 years). MAIN OUTCOME MEASURES: A univariate analysis was done for survival rates using the Kaplan-Meier estimation method. The possible prognostic factors were evaluated using a multivariate analysis according to the Cox model. We formulated a PI and defined 3 risk groups (low, medium, and high) for mortality. RESULTS: Of the 200 patients, 175 (87.5%) are still alive. Of the 25 deaths, 19 (9.5%) were due to the tumor. The survival was 97.5% at 1 year, 92.8% at 5, 89.5% at 10, and 83.9% at 15 and 20 years. The prognostic factors obtained after the multivariate analysis were age, tumor size, extrathyroid spread, and histological variant of the PTC. The PI is calculated as follows: PI = (2 x size) + (6 x spread) + (2 x variant) + (3 x age). As for the risk groups, the low-risk group showed a mortality of 0%; the medium-risk group, 17.1%; and the high-risk group, 76.5%. CONCLUSIONS: The histological variety of PTC has prognostic value for survival in patients with PTC. As risk factors for PTC mortality, we consider an age of 50 years or older, a tumor larger than 4 cm, the existence of extrathyroid spread, and a certain histological subtype of PTC. With these risk factors, it is possible to formulate a PI and classify patients into low-, medium-, and high-risk groups for mortality.
Authors: Ian Ganly; Laura Wang; R Michael Tuttle; Nora Katabi; Gustavo A Ceballos; H Ruben Harach; Ronald Ghossein Journal: Hum Pathol Date: 2015-02-04 Impact factor: 3.466
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: Sachin Gupta; Oluyomi Ajise; Linda Dultz; Beverly Wang; Daisuke Nonaka; Jennifer Ogilvie; Keith S Heller; Kepal N Patel Journal: Arch Otolaryngol Head Neck Surg Date: 2012-03
Authors: B Dijkstra; R S Prichard; A Lee; L M Kelly; P P A Smyth; T Crotty; E W McDermott; A D K Hill; N O'Higgins Journal: Ir J Med Sci Date: 2007-05-08 Impact factor: 1.568