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Extrapolating Survival from Randomized Trials Using External Data: A Review of Methods

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  • Christopher Jackson
  • John Stevens
  • Shijie Ren
  • Nick Latimer
  • Laura Bojke
  • Andrea Manca
  • Linda Sharples

Abstract

This article describes methods used to estimate parameters governing long-term survival, or times to other events, for health economic models. Specifically, the focus is on methods that combine shorter-term individual-level survival data from randomized trials with longer-term external data, thus using the longer-term data to aid extrapolation of the short-term data. This requires assumptions about how trends in survival for each treatment arm will continue after the follow-up period of the trial. Furthermore, using external data requires assumptions about how survival differs between the populations represented by the trial and external data. Study reports from a national health technology assessment program in the United Kingdom were searched, and the findings were combined with “pearl-growing†searches of the academic literature. We categorized the methods that have been used according to the assumptions they made about how the hazards of death vary between the external and internal data and through time, and we discuss the appropriateness of the assumptions in different circumstances. Modeling choices, parameter estimation, and characterization of uncertainty are discussed, and some suggestions for future research priorities in this area are given.

Suggested Citation

  • Christopher Jackson & John Stevens & Shijie Ren & Nick Latimer & Laura Bojke & Andrea Manca & Linda Sharples, 2017. "Extrapolating Survival from Randomized Trials Using External Data: A Review of Methods," Medical Decision Making, , vol. 37(4), pages 377-390, May.
    • Handle: RePEc:sae:medema:v:37:y:2017:i:4:p:377-390
    DOI: 10.1177/0272989X16639900
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    Cited by:

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    2. Zhaojing Che & Nathan Green & Gianluca Baio, 2023. "Blended Survival Curves: A New Approach to Extrapolation for Time-to-Event Outcomes from Clinical Trials in Health Technology Assessment," Medical Decision Making, , vol. 43(3), pages 299-310, April.
    3. Fuhmei Wang & Jung-Der Wang & Yu-Wen Hung, 2018. "Universal health insurance, health inequality and oral cancer in Taiwan," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-13, October.
    4. Adrian Vickers, 2019. "An Evaluation of Survival Curve Extrapolation Techniques Using Long-Term Observational Cancer Data," Medical Decision Making, , vol. 39(8), pages 926-938, November.
    5. M. Campioni & I. Agirrezabal & R. Hajek & J. Minarik & L. Pour & I. Spicka & S. Gonzalez-McQuire & P. Jandova & V. Maisnar, 2020. "Methodology and results of real-world cost-effectiveness of carfilzomib in combination with lenalidomide and dexamethasone in relapsed multiple myeloma using registry data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 219-233, March.
    6. Jing-Shiang Hwang & Tsuey-Hwa Hu, 2020. "Later-Life Exposure to Moderate PM 2.5 Air Pollution and Life Loss of Older Adults in Taiwan," IJERPH, MDPI, vol. 17(6), pages 1-12, March.

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