Nomograms Predict Survival in Patients with Anaplastic Thyroid Carcinoma
| Autor: | Qungang Chang, Hong-Qiang Li, Bei Qiu, De-Tao Yin |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Oncology China Multivariate statistics medicine.medical_specialty genetic structures 030204 cardiovascular system & hematology Thyroid Carcinoma Anaplastic urologic and male genital diseases 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Risk Factors Clinical Research Internal medicine Humans Medicine Thyroid Neoplasms Aged Retrospective Studies business.industry Proportional hazards model Incidence Mortality rate Incidence (epidemiology) Retrospective cohort study General Medicine Middle Aged Nomogram Prognosis Confidence interval Nomograms General Surgery 030220 oncology & carcinogenesis Predictive value of tests Regression Analysis Female business Forecasting |
| Zdroj: | Medical Science Monitor : International Medical Journal of Experimental and Clinical Research |
| ISSN: | 1643-3750 |
| DOI: | 10.12659/msm.918245 |
| Popis: | BACKGROUND Anaplastic thyroid carcinoma (ATC) is a very rare, highly lethal malignant cancer. Our aim in this study was to develop nomograms that predict survival in ATC patients. MATERIAL AND METHODS ATC incidence and mortality were assessed via joinpoint regression analysis of 567 ATC patients selected from the Surveillance, Epidemiology, and End Results 18 Registries Research database. Predictive models were established via univariate and multivariate Cox regression analysis of potential risk factors and used to produce nomograms. Performance of the nomograms in terms of discrimination ability and calibration was evaluated by determining the concordance index (C-index) and by generating calibration plots, respectively. RESULTS The incidence and mortality rates for ATC increased from 2000 to 2015 according to the collected data (p |
| Databáze: | OpenAIRE |
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