2019
DOI: 10.1080/13696998.2019.1645681
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Healthcare resource utilization and costs associated with patients prescribed afatinib or erlotinib as first-line therapy for EGFR mutation-positive NSCLC in the United States

Abstract: Aims: To assess healthcare resource utilization (HCRU) and costs in patients with non-small cell lung cancer treated with the epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors afatinib or erlotinib as first-line treatment. Materials and methods: This retrospective analysis used data from three large administrative claims databases in the US: Truven MarketScan, IMS PharMetrics Plus, and Optum Clinformatics Data Mart. Patients with diagnosis codes of lung cancer treated with afatinib or erlotini… Show more

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Cited by 4 publications
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“…While there have been studies evaluating the healthcare costs [ 15 17 ] and cost effectiveness [ 18 , 19 ] of previous generation TKIs such as erlotinib and afatinib, research remains limited on the magnitude of real-world total costs of care associated with osimertinib and chemotherapy as 1L therapies. This may be due to the limited time osimertinib has been approved for 1L treatment of metastatic NSCLC (since 2018) [ 8 ], the specific population studied (advanced EGFRm NSCLC), and the difficulty associated with combining cost information with mutation data (without relying on proxies) using real-world data sources.…”
Section: Discussionmentioning
confidence: 99%
“…While there have been studies evaluating the healthcare costs [ 15 17 ] and cost effectiveness [ 18 , 19 ] of previous generation TKIs such as erlotinib and afatinib, research remains limited on the magnitude of real-world total costs of care associated with osimertinib and chemotherapy as 1L therapies. This may be due to the limited time osimertinib has been approved for 1L treatment of metastatic NSCLC (since 2018) [ 8 ], the specific population studied (advanced EGFRm NSCLC), and the difficulty associated with combining cost information with mutation data (without relying on proxies) using real-world data sources.…”
Section: Discussionmentioning
confidence: 99%