ORCID: https://orcid.org/0000-0002-7740-4076; Fenchel, Klaus; Eilers, Andreas; Morgan, Jonathan; Wittling, Kirsten und Dempke, Wolfram C. M. 
ORCID: https://orcid.org/0000-0002-7683-1017
  
(14. Dezember 2019):
		Efficacy and Safety of Approved First-Line Tyrosine
Kinase Inhibitor Treatments in Metastatic Renal Cell
Carcinoma: A Network Meta-Analysis.
	
	 In: Advances in therapy, Bd. 37: S. 730-744
	
      
        
          
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              Abstract
Introduction This network meta-analysis aims to deliver an up-to-date, comprehensive efficacy and toxicity comparison of the approved first-line tyrosine kinase inhibitors (TKIs) for metastatic renal cell carcinoma (mRCC) in order to provide support for evidence-based treatment decisions. Previous NMAs of first-line mRCC treatments either predate the approval of all the first-line TKIs currently available or do not include evaluation of safety data for all treatments.
Methods We performed a systematic literature review and network meta-analysis of phase II/III randomised controlled trials (RCTs) assessing approved first-line TKI therapies for mRCC. A random effects model with a frequentist approach was computed for progression-free survival (PFS) data and for the proportion of patients experiencing a maximum of grade 3 or 4 adverse events (AEs).
Results The network meta-analysis of PFS demonstrated no significant differences between cabozantinib and either sunitinib (50 mg 4/2), pazopanib or tivozanib. The network meta-analysis indicated that in terms of grade 3 and 4 AEs, tivozanib had the most favourable safety profile and was associated with significantly less risk of toxicity than the other TKIs.
Conclusion These network meta-analysis data demonstrate that cabozantinib, sunitinib, pazopanib and tivozanib do not significantly differ in their efficacy, but tivozanib is associated with a more favourable safety profile in terms of grade 3 or 4 toxicities. Consequently, the relative toxicity of these first-line TKIs may play a more significant role than efficacy comparisons in treatment decisions and in planning future RCTs.
| Dokumententyp: | Zeitschriftenartikel | 
|---|---|
| Fakultät: | Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie | 
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit | 
| URN: | urn:nbn:de:bvb:19-epub-69943-6 | 
| ISSN: | 0741-238X | 
| Sprache: | Englisch | 
| Dokumenten ID: | 69943 | 
| Datum der Veröffentlichung auf Open Access LMU: | 16. Dez. 2019 06:56 | 
| Letzte Änderungen: | 26. Aug. 2022 10:32 | 
 
		 
	 
    


