Real-World Use of Systemic Therapies for the Treatment of Advanced Thyroid Cancers.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists(2023)

引用 0|浏览9
暂无评分
摘要
OBJECTIVE:In the last decade, new systemic treatment options have been made available for patients with advanced thyroid cancer. However, little is known about the real-world utilization of these systemic therapies. METHODS:We used Optum's de-identified Clinformatics® Data Mart Database to characterize trends in the use of 15 systemic therapies that are available for the treatment of advanced thyroid cancer between 2013 and 2021. Joinpoint regression was used to calculate annual percentage changes in the use of systemic therapy by patients' race/ethnicity. The sequence of therapies was determined by the date of prescription claims. RESULTS:Between 2013 and 2021, the annual number of patients treated for advanced thyroid cancer with systemic therapy increased from 45 patients in 2013 to 114 patients in 2021 (N of total cohort = 885). Most patients were female (54.7%) and non-Hispanic White (62.1%). Between 2013 and 2021, there was a significant decrease in the proportion of non-Hispanic White patients treated for advanced thyroid cancer with systemic therapy (annual percentage change -3.9%, 95% confidence intervals, -6.0% to -1.8%). Since its approval by the US Food and Drug Administration (FDA) in 2015, lenvatinib remains the most frequently prescribed first-line therapy for the treatment of radioiodine-refractory thyroid cancer (48.8% of patients between 2017 and 2021). Between 2017 and 2021, most patients (79.7%) were initiated on 1 of the 10 FDA-approved agents and 81.7% received only a first-line therapy. CONCLUSIONS:Between 2013 and 2021, the use of systemic treatment options for advanced thyroid cancer increased significantly, largely driven by the prescription of lenvatinib following its approval by the FDA in 2015, with an increasing trend for use in non-White patients.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要