Popular Searches:

    Assessing Flatiron's composite real-world mortality endpoint

    Summary of: Curtis MD, Griffith SD, Tucker MG, Taylor MD, Capra WB, Carrigan G, Holzman B, Torres AZ, You P, Arnieri B, Abernethy AP. Development and validation of a high‐quality composite real‐world mortality endpoint. Health Serv Res. 2018. ;53 (6):4460-4476.

    Our summary

    In the absence of a national mortality dataset that is recent, accessible and linkable, Flatiron has developed a composite mortality variable, amalgamated from multiple data sources, and benchmarked it to understand its quality. Mortality data are critical for determining health outcomes, but are frequently incomplete when derived from electronic health records. By optimally linking different death datasets, this composite variable is of improved quality and high recency, which makes it suitable for evaluating outcomes in studies that leverage real-world evidence.

    Interested in working with Flatiron data?

    Contact our Life Sciences Partnerships team to get started.

    arrow

    Sales CTA Form

    Why this matters

    For real-world research in potentially fatal diseases, sensitive mortality surveillance is key to the generation of reliable results, namely accurate overall survival estimates. In this study, the Flatiron Health team developed a multi-source composite mortality variable of high sensitivity, thus unlocking the ability to conduct reliable outcome studies in oncology populations.

    Read the research

    The Research

    Curtis MD, Griffith SD, Tucker MG, Taylor MD, Capra WB, Carrigan G, Holzman B, Torres AZ, You P, Arnieri B, Abernethy AP. Development and validation of a high‐quality composite real‐world mortality endpoint Health Serv Res. 2018. ;53 (6): 4460-4476. https://doi.org/10.1111/1475-6773.12872

    RELATED ARTICLES