scholarly journals OR21-07 The 2015 American Thyroid Association Risk Stratification System Is a Predictor of Persistent Disease in Real-World Clinical Practice

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Giorgio Grani ◽  
Marco Alfo’ ◽  
Valeria Ramundo ◽  
Efisio Puxeddu ◽  
Emanuela Arvat ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Real World ◽  
Initial Treatment ◽  
Response To Treatment ◽  
American Thyroid Association ◽  
Structural Disease ◽  
Stratification System ◽  
Risk Stratification System

Abstract Background. Management and follow-up of differentiated thyroid cancer (DTC) are guided by the likelihood of disease persistence or recurrence. The American Thyroid Association (ATA) practice guidelines provide a risk-estimation system based on data mainly derived by retrospective, single-center, and small cohorts. Aim. To validate the ATA risk-stratification system in predicting persistent structural disease. Methods. We analyzed data from the Italian Thyroid Cancer Observatory’s observational, web-based database, which prospectively enrolls newly diagnosed DTC patients in 40 Italian centers. For the present study we selected consecutive cases satisfying the inclusion criteria: 1) histological diagnosis of DTC, including papillary, follicular, and poorly differentiated tumors; 2) registration in the ITCO database between January 1, 2013 and April 23, 2019; 3) clinical evaluation between 6 and 18 month after primary treatment, including enough data to estimate the response to the initial treatment. Exclusion criteria were: histological diagnosis of NIFTP, medullary, or anaplastic thyroid cancer. The response to the initial treatment was categorized as excellent, biochemical incomplete, structural incomplete, or indeterminate based on imaging findings (neck ultrasound and other imaging studies, if performed), basal or stimulated serum thyroglobulin levels, and anti-Tg antibody levels. To model the response to treatment, we used a cumulative link model; given the hierarchical structure of the data, with patients nested within centers, we used a mixed-effect model, with a center-specific intercept summarizing unobserved center-specific characteristics. Results. Complete data about initial treatment and response to treatment after 6-18 months since initial treatment was available for 2071 patients. According to the ATA system, 1109 patients (53.6%) were classified as low-risk, 796 (38.4%) as intermediate, and 166 (8.0%) as high-risk. Excellent response was recorded in 1576 (76.1%) patients, indeterminate in 376 (18.2%), biochemical incomplete in 33 (1.6%), and structural incomplete in 86 (4.2%).The ATA risk stratification system is a significant predictor of response to treatment after 6-18 months: classification as intermediate- and high-risk increased the likelihood of a response worse than excellent (OR 1.68 [95% confidence intervals, CI 1.34-2.10] and 3.23 [95% CI 2.23-4.67], respectively), and a persistent structural disease (OR 4.67 [95% CI 2.59-8.43] and 16.48 [95% CI 7.87-34.5], respectively. In both analyses, the effect of the center (taking into account center-specific features) was negligible and not statistically significant. Conclusion. The 2015 ATA risk stratification system is a reliable predictor of short-term outcomes in patients with DTC, also if applied in a real-world setting consisting of several different clinical sites.

scholarly journals MON-549 How Does the 2015 American Thyroid Association Risk Stratification System Perform in High Risk Thyroid Cancer Patients?

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Evert van Velsen ◽  
Merel Stegenga ◽  
Folkert van Kemenade ◽  
Boen Kam ◽  
Tessa van Ginhoven ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Cancer Patients ◽  
American Thyroid Association ◽  
Stratification System ◽  
Risk Stratification System

Evaluating the 2015 American Thyroid Association Risk Stratification System in High-Risk Papillary and Follicular Thyroid Cancer Patients

Thyroid ◽  
2019 ◽  
Vol 29 (8) ◽  
pp. 1073-1079 ◽  
Author(s):  
Evert F.S. van Velsen ◽  
Merel T. Stegenga ◽  
Folkert J. van Kemenade ◽  
Boen L.R. Kam ◽  
Tessa M. van Ginhoven ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Cancer Patients ◽  
American Thyroid Association ◽  
Follicular Thyroid Cancer ◽  
Stratification System ◽  
Risk Stratification System

The Influence of Age on Disease Outcome in 2015 ATA High Risk Differentiated Thyroid Cancer Patients

2021 ◽  
Author(s):  
Evert F.s. van Velsen ◽  
Robin P. Peeters ◽  
Merel T. Stegenga ◽  
F.j. van Kemenade ◽  
Tessa M. van Ginhoven ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Differentiated Thyroid Cancer ◽  
Response To Therapy ◽  
Disease Outcome ◽  
High Risk Patients ◽  
Risk Patients ◽  
Stratification System ◽  
Risk Stratification System

Objective Recent research suggests that the addition of age improves the 2015 American Thyroid Association (ATA) Risk Stratification System for differentiated thyroid cancer (DTC). The aim of our study was to investigate the influence of age on disease outcome in ATA High Risk patients with a focus on differences between patients with papillary (PTC) and follicular thyroid cancer (FTC). Methods We retrospectively studied adult patients with High Risk DTC from a Dutch university hospital. Logistic regression and Cox proportional hazards models were used to estimate the effects of age (at diagnosis) and several age cutoffs (per five years increment between 20 and 80 years) on (i) response to therapy, (ii) developing no evidence of disease (NED), (iii) recurrence, and (iv) disease specific mortality (DSM). Results We included 236 ATA High Risk patients (32% FTC) with a median follow-up of 6 years. Age, either continuously or dichotomously, had a significant influence on having an excellent response after initial therapy, developing NED, recurrence, and DSM for PTC and FTC. For FTC, an age cutoff of 65 or 70 years showed the best statistical model performance, while this was 50 or 60 years for PTC. Conclusions In a population of patients with High Risk DTC, older age has a significant negative influence on disease outcomes. Slightly different optimal age cutoffs were identified for the different outcomes, and these cutoffs differed between PTC and FTC. Therefore, the ATA Risk Stratification System may further improve should age be incorporated as an additional risk factor.

scholarly journals Risk Stratification for Diffuse Large B-Cell Lymphoma by Integrating Interim Evaluation and International Prognostic Index: A Multicenter Retrospective Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Xue Shi ◽  
Xiaoqian Liu ◽  
Xiaomei Li ◽  
Yahan Li ◽  
Dongyue Lu ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Stratification ◽  
Risk Group ◽  
International Prognostic Index ◽  
Prognostic Index ◽  
B Cell Lymphoma ◽  
Risk Groups ◽  
High Risk Group ◽  
Stratification System ◽  
Risk Stratification System

The baseline International Prognostic Index (IPI) is not sufficient for the initial risk stratification of patients with diffuse large B-cell lymphoma (DLBCL) treated with R‐CHOP (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone). The aims of this study were to evaluate the prognostic relevance of early risk stratification in DLBCL and develop a new stratification system that combines an interim evaluation and IPI. This multicenter retrospective study enrolled 314 newly diagnosed DLBCL patients with baseline and interim evaluations. All patients were treated with R-CHOP or R-CHOP-like regimens as the first-line therapy. Survival differences were evaluated for different risk stratification systems including the IPI, interim evaluation, and the combined system. When stratified by IPI, the high-intermediate and high-risk groups presented overlapping survival curves with no significant differences, and the high-risk group still had >50% of 3-year overall survival (OS). The interim evaluation can also stratify patients into three groups, as 3-year OS and progression-free survival (PFS) rates in patients with stable disease (SD) and progressive disease (PD) were not significantly different. The SD and PD patients had significantly lower 3-year OS and PFS rates than complete remission and partial response patients, but the percentage of these patients was only ~10%. The IPI and interim evaluation combined risk stratification system separated the patients into low-, intermediate-, high-, and very high-risk groups. The 3-year OS rates were 96.4%, 86.7%, 46.4%, and 40%, while the 3-year PFS rates were 87.1%, 71.5%, 42.5%, and 7.2%. The OS comparison between the high-risk group and very high-risk group was marginally significant, and OS and PFS comparisons between any other two groups were significantly different. This combined risk stratification system could be a useful tool for the prognostic prediction of DLBCL patients.

scholarly journals Delayed risk stratification, to include the response to initial treatment (surgery and radioiodine ablation), has better outcome predictivity in differentiated thyroid cancer patients

2011 ◽  
Vol 165 (3) ◽  
pp. 441-446 ◽  
Author(s):  
Maria Grazia Castagna ◽  
Fabio Maino ◽  
Claudia Cipri ◽  
Valentina Belardini ◽  
Alexandra Theodoropoulou ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Initial Treatment ◽  
Differentiated Thyroid Cancer ◽  
Low Risk ◽  
Risk Category ◽  
Radioiodine Ablation ◽  
Risk Patients

IntroductionAfter initial treatment, differentiated thyroid cancer (DTC) patients are stratified as low and high risk based on clinical/pathological features. Recently, a risk stratification based on additional clinical data accumulated during follow-up has been proposed.ObjectiveTo evaluate the predictive value of delayed risk stratification (DRS) obtained at the time of the first diagnostic control (8–12 months after initial treatment).MethodsWe reviewed 512 patients with DTC whose risk assessment was initially defined according to the American (ATA) and European Thyroid Association (ETA) guidelines. At the time of the first control, 8–12 months after initial treatment, patients were re-stratified according to their clinical status: DRS.ResultsUsing DRS, about 50% of ATA/ETA intermediate/high-risk patients moved to DRS low-risk category, while about 10% of ATA/ETA low-risk patients moved to DRS high-risk category. The ability of the DRS to predict the final outcome was superior to that of ATA and ETA. Positive and negative predictive values for both ATA (39.2 and 90.6% respectively) and ETA (38.4 and 91.3% respectively) were significantly lower than that observed with the DRS (72.8 and 96.3% respectively,P<0.05). The observed variance in predicting final outcome was 25.4% for ATA, 19.1% for ETA, and 62.1% for DRS.ConclusionsDelaying the risk stratification of DTC patients at a time when the response to surgery and radioiodine ablation is evident allows to better define individual risk and to better modulate the subsequent follow-up.

scholarly journals Delayed risk stratification system in pT1aN0/Nx DTC patients treated without radioactive iodine

2017 ◽  
Vol 6 (7) ◽  
pp. 522-527 ◽  
Author(s):  
Danuta Gąsior-Perczak ◽  
Iwona Pałyga ◽  
Monika Szymonek ◽  
Artur Kowalik ◽  
Agnieszka Walczyk ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Clinical Outcomes ◽  
Radioactive Iodine ◽  
Initial Therapy ◽  
American Thyroid Association ◽  
Monitoring Method ◽  
Risk Patients ◽  
Structural Disease ◽  
Stratification System

Purpose Delayed risk stratification (DRS) system by Momesso and coworkers was accepted by the American Thyroid Association as a diagnostic tool for the risk stratification of unfavorable clinical outcomes and to monitor the clinical outcomes of differentiated thyroid cancer (DTC) patients treated without radioactive iodine (RAI). The aim of this study was to evaluate the DRS system in patients with pT1aN0/Nx stage. Methods The study included 304 low-risk patients after thyroidectomy (n = 202) or lobectomy (n = 102) without RAI and were treated at a single center. The median age was 50.5 years, 91.1% were women and the median follow-up was 4 years. DRS of the treatment response was performed based on medical records and according to the criteria of Momesso and coworkers. Disease course (recurrence, death) and status (remission, persistent disease) on December 31, 2016 were evaluated. The relationship between unfavorable outcomes and the DRS system was evaluated. Results Response to initial therapy was excellent in 272 patients (89.5%), indeterminate in 31 (10.2%) and biochemical incomplete (increased TgAb levels) in one (0.3%). Two patients in the excellent response group experienced recurrence at 6 and 7 years of follow-up (after lobectomy). None of the patients with indeterminate and biochemical incomplete response developed structural disease, and none of the patients died during the follow-up. Conclusions The DRS system was not useful for predicting the risk of unfavorable clinical outcomes and cannot be used to personalize the monitoring method of the disease in patients at pT1aN0/Nx stage who are not treated with RAI.

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