Journal article
An Exploratory Analysis of Real-World End Points for Assessing Outcomes Among Immunotherapy-Treated Patients With Advanced Non-Small-Cell Lung Cancer
JCO clinical cancer informatics, Vol.3(3), pp.1-15
07/2019
DOI: 10.1200/CCI.18.00155
PMCID: PMC6873914
PMID: 31335166
Abstract
This pilot study examined the ability to operationalize the collection of real-world data to explore the potential use of real-world end points extracted from data from diverse health care data organizations and to assess how these relate to similar end points in clinical trials for immunotherapy-treated advanced non-small-cell lung cancer.
Researchers from six organizations followed a common protocol using data from administrative claims and electronic health records to assess real-world end points, including overall survival (rwOS), time to next treatment, time to treatment discontinuation (rwTTD), time to progression, and progression-free survival, among patients with advanced non-small-cell lung cancer treated with programmed death 1/programmed death-ligand 1 inhibitors in real-world settings. Data sets included from 269 to 6,924 patients who were treated between January 2011 and October 2017. Results from contributors were anonymized.
Correlations between real-world intermediate end points (rwTTD and time to next treatment) and rwOS were moderate to high (range, 0.6 to 0.9). rwTTD was the most consistent end points as treatment detail was available in all data sets. rwOS at 1 year post-programmed death-ligand 1 initiation ranged from 40% to 57%. In addition, rwOS as assessed via electronic health records and claims data fell within the range of median OS values observed in relevant clinical trials. Data sources had been used extensively for research with ongoing data curation to assure accuracy and practical completeness before the initiation of this research.
These findings demonstrate that real-world end points 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. Differences observed likely reflect true differences between real-world and protocol-driven practices.
Details
- Title: Subtitle
- An Exploratory Analysis of Real-World End Points for Assessing Outcomes Among Immunotherapy-Treated Patients With Advanced Non-Small-Cell Lung Cancer
- Creators
- Mark Stewart - Friends of Cancer Research, Washington, DCAndrew D Norden - Cota Healthcare, New York, NYNancy Dreyer - IQVIA, Durham, NCHenry Joe Henk - OptumLabs, Cambridge, MAAmy P Abernethy - Flatiron Health, New York, NYElizabeth Chrischilles - PCORnet, Washington, DCLawrence Kushi - Cancer Research Network, Oakland, CAAaron S Mansfield - Mayo Clinic, Rochester, MNSean Khozin - US Food and Drug Administration, Bethesda, MDElad Sharon - National Cancer Institute, Bethesda, MDSrikesh Arunajadai - Cota Healthcare, New York, NYRyan Carnahan - PCORnet, Washington, DCJennifer B Christian - IQVIA, Durham, NCRebecca A Miksad - Flatiron Health, New York, NYLori C Sakoda - Kaiser Permanente, Oakland, CAAracelis Z Torres - Flatiron Health, New York, NYEmily Valice - Kaiser Permanente, Oakland, CAJeff Allen - Friends of Cancer Research, Washington, DC
- Resource Type
- Journal article
- Publication Details
- JCO clinical cancer informatics, Vol.3(3), pp.1-15
- DOI
- 10.1200/CCI.18.00155
- PMID
- 31335166
- PMCID
- PMC6873914
- NLM abbreviation
- JCO Clin Cancer Inform
- ISSN
- 2473-4276
- eISSN
- 2473-4276
- Grant note
- U24 CA171524 / NCI NIH HHS K07 CA188142 / NCI NIH HHS P30 CA015083 / NCI NIH HHS K12 CA090628 / NCI NIH HHS
- Language
- English
- Date published
- 07/2019
- Academic Unit
- Pharmacy; Epidemiology; Nursing; Injury Prevention Research Center
- Record Identifier
- 9984214837102771
Metrics
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