Real-world outcome data from patients with advanced non–small cell lung cancer (NSCLC) treated with immunotherapy are robust enough to use for regulatory and payer decisions, suggests an analysis of six data sets and more than 13,000 patients.
“Study of routinely collected health care data is increasingly important for various stakeholders who are interested in better understanding particular patient populations, evaluating drug safety in the postmarketing setting, measuring health care use and clinical outcomes, performing comparative effectiveness research, and optimizing drug pricing models,” noted lead investigator Mark Stewart, PhD, Friends of Cancer Research, Washington, and coinvestigators. “However, before [real-world data] finds widespread use as an adjunct to – or in unique settings, an alternative for – [randomized clinical trials], the validity of readily extractable clinical outcomes measures – real-world endpoints – must be established.”
The investigators undertook a retrospective cohort study using administrative claims and electronic health records for patients with advanced NSCLC treated with inhibitors of programmed death 1 (PD-1) or programmed death ligand 1 (PD-L1) between January 2011 and October 2017 in real-world settings. They analyzed six data sets having 269 to 6,924 patients each (13,639 patients total).
Results reported inshowed that the real-world intermediate endpoints of time to treatment discontinuation and time to next treatment were moderately to highly correlated with real-world overall survival (Spearman’s rank correlation coefficient, 0.36 to 0.89, with most values 0.60 or higher).
In real-world settings, the 1-year rate of overall survival after starting immunotherapy ranged from 40% to 57%. Real-world data and trial data were similar with respect to median overall survival (8.6-13.5 months vs. 9.2-12.7 months).
The data sources used for the study have been extensively used for research and are curated on an ongoing basis to ensure the data are accurate and as complete as possible, Dr. Stewart and coinvestigators noted.
“These findings demonstrate that real-world endpoints are generally consistent with each other and with outcomes observed in randomized clinical trials, which substantiates the potential validity of real-world data to support regulatory and payer decision-making,” they maintained. “Differences observed likely reflect true differences between real-world and protocol-driven practices.
“Additional studies are needed to further support the use of [real-world evidence] and inform the development of regulatory guidance,” the investigators concluded. “Standardizing definitions for real-world endpoints and determining appropriate analytic methodologies for [real-world data] will be critical for broader adoption of real-world studies and will provide greater confidence in associated findings. As more refined and standardized approaches are developed that incorporate deep clinical and bioinformatics expertise, the greater the utility of [real-world data] will be for detecting even small, but important, differences in treatment effects.”
Dr. Stewart disclosed no conflicts of interest. The study was supported in part by the National Cancer Institute and the Patient Centered Outcomes Research Institute.
SOURCE: Stewart M et al. JCO Clin Cancer Inform. 2019 July 23. .