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Real-life effectiveness of first-line anticancer treatments in stage IIIB/IV NSCLC patients: Data from the Czech TULUNG Registry
K. Brat, M. Bratova, J. Skrickova, M. Barinova, K. Hurdalkova, M. Pesek, L. Havel, L. Koubkova, M. Hrnciarik, J. Krejci, O. Fischer, M. Zemanova, H. Coupkova, M. Svaton
Language English Country Singapore
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
MH CZ-DRO FNBr 65269705
Ministerstvo Zdravotnictví Ceské Republiky - International
NLK
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- MeSH
- Survival Analysis MeSH
- Middle Aged MeSH
- Humans MeSH
- Lung Neoplasms drug therapy mortality pathology MeSH
- Carcinoma, Non-Small-Cell Lung drug therapy mortality pathology MeSH
- Antineoplastic Combined Chemotherapy Protocols pharmacology therapeutic use MeSH
- Registries MeSH
- Neoplasm Staging MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
BACKGROUND: Data regarding real-life effectiveness of any treatment may improve clinical decision-making. The aim of this study was to evaluate real-life effectiveness of tyrosin-kinase inhibitors, bevacizumab and pemetrexed as first-line treatments in patients with advanced/metastatic non-small cell lung cancer (NSCLC). METHODS: We analyzed data of 2157 patients of the Czech TULUNG Registry of patients with advanced/metastatic NSCLC who received modern-era treatments between 2011 and 2018. Patients treated with gefitinib, erlotinib, afatinib, bevacizumab (+ maintenance), pemetrexed (+ maintenance) as first-line therapy were included in the study. A systematic literature search separately identified clinical trials suitable for calculation of comparator pooled OS and PFS for each regimen. For each subgroup, basic characteristics and survival data (Kaplan-Meier estimates) are shown. We propose the "index of real-life effectiveness" (IRE), a ratio of real-life OS/PFS and comparator pooled OS/PFS. Univariate and multivariate logistic regression identified factors were associated with longer OS (ie, IRE>1.1). RESULTS: Survival analysis showed median OS of 23 months for erlotinib, 29.3 months for afatinib, 19.6 months for gefitinib, 12.2 months for pemetrexed, 17.5 months for pemetrexed maintenance, 15.8 months for bevacizumab and 15.8 months for bevacizumab maintenance. Calculated IREs for OS for the regimens were: erlotinib 1.013, afatinib 1.184, gefitinib 0.736, pemetrexed 1.188, pemetrexed maintenance 1.294, bevacizumab 1.178, and bevacizumab maintenance 1.189. Multivariate regression analysis showed that these factors were associated with longer OS: lower PS for afatinib; lower PS, absence of adverse events and female sex for bevacizumab; and lower PS and female sex for pemetrexed. CONCLUSIONS: This study clearly demonstrated that real-life effectiveness of certain treatment regimens may strongly differ in various populations/health care systems, and comparison between TULUNG data and pooled survival data from trials showed higher real-life effectiveness for most of the studied first-line regimens. Lower ECOG PS, younger age, female sex and adverse events were associated with longer survival in most regimens. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: Comparison between TULUNG data and pooled survival data from trials showed higher real-life effectiveness for most of the studied first-line regimens; for most regimens, lower ECOG PS, younger age, female sex and adverse events were associated with longer survival. WHAT THIS STUDY ADDS: Real-life effectiveness of certain treatment regimens may strongly differ in various populations/health care systems.
1st Faculty of Medicine Charles University Prague Czech Republic
2nd Faculty of Medicine Charles University Prague Czech Republic
Clinic of Comprehensive Cancer Care Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Oncology General Teaching Hospital Prague Czech Republic
Department of Pneumology and Thoracic Surgery Bulovka Hospital Prague Czech Republic
Department of Pneumology University Hospital Hradec Kralove Hradec Kralove Czech Republic
Department of Pneumology University Hospital Motol Prague Czech Republic
Department of Pneumology University Hospital Pilsen Pilsen Czech Republic
Department of Respiratory Diseases University Hospital Brno Brno Czech Republic
Department of Respiratory Medicine Thomayer Hospital Prague Czech Republic
Department of Respiratory Medicine University Hospital Olomouc Olomouc Czech Republic
Faculty of Medicine Charles University Prague Hradec Kralove Czech Republic
Faculty of Medicine Charles University Prague Pilsen Czech Republic
Faculty of Medicine Masaryk University Brno Czech Republic
Faculty of Medicine Palacky University Olomouc Czech Republic
Institute of Biostatistics and Analyses Ltd Brno Czech Republic
References provided by Crossref.org
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