USE OF EXTERNAL DATA TO GUIDE LONG-TERM SURVIVAL EXTRAPOLATIONS OF TRIAL DATA FOR CHRONIC LYMPHOCYTIC LEUKEMIA
Author(s)
Hawe E1, Pearson I1, Wolowacz S1, Haiderali A2
1RTI Health Solutions, Manchester, UK, 2GlaxoSmithKline, Collegeville, PA, USA
Presentation Documents
OBJECTIVES: The National Institute for Health and Care Excellence recommends utilising external data to evaluate the validity of extrapolation beyond trial follow-up. The objective was to demonstrate the use of external data to guide long-term survival predictions where only short-term trial data are available. METHODS: Four-year patient-level data for chlorambucil and ofatumumab+chlorambucil from the COMPLEMENT-1 trial were available; the survival rate was over 70% at four years. Published 18-year Kaplan-Meier data for chlorambucil from the C9011 study, which compared fludarabine and chlorambucil, were used to simulate a patient-level dataset. These data were not used directly as outcomes have improved substantially since patients were enrolled (1990-1994) and the chlorambucil dosing regimens differed. However the curve was used to guide the extrapolation of the COMPLEMENT-1 data using a three-stage approach: 1) Survival functions were fitted for the COMPLEMENT-1 and C9011 chlorambucil arms with an indicator for study. 2) The average treatment effect (chlorambucil versus ofatumumab+chlorambucil) was estimated from survival analysis for both arms of COMPLEMENT-1 and the C9011 chlorambucil arm, with indicators for treatment and study. 3) For ofatumumab+chlorambucil, long-term survival was estimated by applying the treatment effect from stage 2 to the function for chlorambucil from stage 1. Exponential, gamma, Weibull, log-normal, log-logistic and Gompertz functions were fitted. RESULTS: Weibull, Gompertz, and gamma functions provided reasonable fits during trial follow-up and plausible extrapolations (assessed by Akaike information criterion, Bayesian information criterion, graphical diagnostics, and expert clinical opinion). Survival predictions were markedly lower than conventional functions fitted to COMPLEMENT-1 data only (E.g. Weibull predictions for chlorambucil at 20 years were 8% vs 26%, respectively). CONCLUSIONS: Using long-term external data to guide the extrapolation provided plausible predictions for chlorambucil upon which alternative scenarios for the continuation of treatment effect observed in COMPLEMENT-1 could be explored.
Conference/Value in Health Info
2014-11, ISPOR Europe 2014, Amsterdam, The Netherlands
Value in Health, Vol. 17, No. 7 (November 2014)
Code
PRM115
Topic
Methodological & Statistical Research
Topic Subcategory
Modeling and simulation
Disease
Systemic Disorders/Conditions