Characterizing the Feasibility and Performance of Real-World Tumor Progression End Points and Their Association With Overall Survival in a Large Advanced Non–Small-Cell Lung Cancer Data Set

PURPOSE: Large, generalizable real-world data can enhance traditional clinical trial results. The current study evaluates reliability, clinical relevance, and large-scale feasibility for a previously documented method with which to characterize cancer progression outcomes in advanced non–small-cell...

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Detalles Bibliográficos
Autores principales: Griffith, Sandra D., Miksad, Rebecca A., Calkins, Geoff, You, Paul, Lipitz, Nicole G., Bourla, Ariel B., Williams, Erin, George, Daniel J., Schrag, Deborah, Khozin, Sean, Capra, William B., Taylor, Michael D., Abernethy, Amy P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2019
Materias:
Original Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873982/
https://www.ncbi.nlm.nih.gov/pubmed/31403818
http://dx.doi.org/10.1200/CCI.19.00013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873982/
https://www.ncbi.nlm.nih.gov/pubmed/31403818
http://dx.doi.org/10.1200/CCI.19.00013

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