Clinical Prognostic Score for Predicting Disease Remission with Differentiated Thyroid Cancers

Document Type: Systematic Review and Meta-analysis

Authors

1 Department of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand

2 Department of Radiology,Faculty of Medicine, Khon Kaen University, Khon Kaen,Thailand.

3 Department of Internal Medicine, Faculty of Medicine,Chiang Mai University, Chiang Mai, Thailand.

4 The Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.

5 Section for Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

6 Department of OtorhinolaryngologyFaculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.

7 Cancer Unit, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.

8 Nuclear Medicine Division, Maharat Nakhon Ratchasima Hospital, Maharat Nakhon Ratchasima, Thailand.

Abstract

Background: Differentiated thyroid cancer is the most common endocrine malignancy with a generally good prognosis. Knowing long-term outcomes of each patient helps management planning. The study was conducted to develop and validate a clinical prognostic score for predicting disease remission in patients with differentiated thyroid cancer based on patient, tumor and treatment factors.
Materials and Methods: A retrospective cohort study of 1,217 differentiated thyroid cancer patients from two tertiary-care hospitals in the Northeast of Thailand was performed. Associations between potential clinical prognostic factors and remission were tested by Cox proportional-hazards analysis in 852 patients (development cohort). The prediction score was created by summation of score points weighted from regression coefficients of independent prognostic factors. Risks of disease remission were estimated and the derived score was then validated in the remaining 365 patients (validation cohort).
Results: During the median follow-up time of 58 months, 648 (76.1%) patients in the development cohort had disease remission. Five independent prognostic factors were identified with corresponding score points: duration from thyroid surgery to 131I treatment (0.721), distant metastasis at initial diagnosis (0.801), postoperative serum thyroglobulin level (0.535), anti-thyroglobulin antibodies positivity (0.546), and adequacy of serum TSH suppression (0.293). The total risk score for each patient was calculated and three categories of remission probability were proposed: ≤1.628 points (low risk, 83% remission), 1.629-1.816 points (intermediate risk, 87% remission), and ≥1.817 points (high risk, 93% remission). The concordance (C-index) was 0.761 (95% CI 0.754-0.767).
Conclusions: The clinical prognostic scoring model developed to quantify the probability of disease remission can serve as a useful tool in personalized decision making regarding treatment in differentiated thyroid cancer patients.

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