Development and Validation of a High-Quality Composite Real-World Mortality Endpoint
Abstract
To create a high-quality electronic health record (EHR)-derived mortality dataset for retrospective and prospective real-world evidence generation. Oncology EHR data, supplemented with external commercial and US Social Security Death Index data, benchmarked to the National Death Index (NDI). We developed a recent, linkable, high-quality mortality variable amalgamated from multiple data sources to supplement EHR data, benchmarked against the highest completeness U.S. mortality data, the NDI. Data quality of the mortality variable version 2.0 is reported here. For advanced non-small-cell lung cancer, sensitivity of mortality information improved from 66 percent in EHR structured data to 91 percent in the composite dataset, with high date agreement compared to the NDI. For advanced melanoma, metastatic colorectal cancer, and metastatic breast cancer, sensitivity of the final variable was 85 to 88 percent. Kaplan-Meier survival analyses showed that improving mortality data completeness minimized overestimation of survival relative to NDI-based estimates. For EHR-derived data to yield reliable real-world evidence, it needs to be of known and sufficiently high quality. Considering the impact of mortality data completeness on survival...Continue Reading
References
Citations
Software Mentioned
Related Concepts
Related Feeds
Cancer Incidence & Mortality
Cancer has emerged as a global concern due to its increase in incidence and mortality. Efforts are underway to evaluate and develop action plans to reduce the global burden of cancer. Currently, lung cancer, breast cancer and prostate cancer are the leading causes of cancer mortality. Here is the latest research on cancer incidence and mortality.