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Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System
The authors intend to compare the effects of each targeted therapy (TT) in the treatment of patients with metastatic renal cell carcinoma (mRCC) using big data based on the Korean National Health Insurance System (NHIS) and determine the optimal treatment sequence. Data on the medical use of patient...
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Published in: | BMC cancer 2023-05, Vol.23 (1), p.483-483, Article 483 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | The authors intend to compare the effects of each targeted therapy (TT) in the treatment of patients with metastatic renal cell carcinoma (mRCC) using big data based on the Korean National Health Insurance System (NHIS) and determine the optimal treatment sequence.
Data on the medical use of patients with kidney cancer were obtained from the NHIS database from January 1, 2002, to December 31, 2020. Patient variables included age, sex, income level, place of residence, prescribing department, and duration from diagnosis to the prescription date. The primary outcome was overall survival (OS) for each drug and sequencing. We performed propensity score matching (PSM) according to age, sex, and Charlson Comorbidity Index based on the primary TTs.
After 1:1 PSM, the sunitinib (SUN) (n = 1,214) and pazopanib (PAZ) (n = 1,214) groups showed a well-matched distribution across the entire cohort. In the primary treatment group, PAZ had lower OS than SUN (HR, 1.167; p = 0.0015). In the secondary treatment group, axitinib (AXI) had more favorable OS than cabozantinib (CAB) (HR, 0.735; p = 0.0118), and everolimus had more adverse outcomes than CAB (HR, 1.544; p |
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ISSN: | 1471-2407 1471-2407 |
DOI: | 10.1186/s12885-023-10991-3 |