Back to Search Start Over

Estimand framework: Are we asking the right questions? A case study in the solid tumor setting.

Authors :
Casey, Michelle
Degtyarev, Evgeny
Lechuga, María José
Aimone, Paola
Ravaud, Alain
Motzer, Robert J.
Liu, Feng
Stalbovskaya, Viktoriya
Tang, Rui
Butler, Emily
Sailer, Oliver
Halabi, Susan
George, Daniel
Source :
Pharmaceutical Statistics; Mar2021, Vol. 20 Issue 2, p324-334, 11p
Publication Year :
2021

Abstract

Summary: The estimand framework requires a precise definition of the clinical question of interest (the estimand) as different ways of accounting for "intercurrent" events post randomization may result in different scientific questions. The initiation of subsequent therapy is common in oncology clinical trials and is considered an intercurrent event if the start of such therapy occurs prior to a recurrence or progression event. Three possible ways to account for this intercurrent event in the analysis are to censor at initiation, consider recurrence or progression events (including death) that occur before and after the initiation of subsequent therapy, or consider the start of subsequent therapy as an event in and of itself. The new estimand framework clarifies that these analyses address different questions ("does the drug delay recurrence if no patient had received subsequent therapy?" vs "does the drug delay recurrence with or without subsequent therapy?" vs "does the drug delay recurrence or start of subsequent therapy?"). The framework facilitates discussions during clinical trial planning and design to ensure alignment between the key question of interest, the analysis, and interpretation. This article is a result of a cross‐industry collaboration to connect the International Council for Harmonisation E9 addendum concepts to applications. Data from previously reported randomized phase 3 studies in the renal cell carcinoma setting are used to consider common intercurrent events in solid tumor studies, and to illustrate different scientific questions and the consequences of the estimand choice for study design, data collection, analysis, and interpretation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15391604
Volume :
20
Issue :
2
Database :
Complementary Index
Journal :
Pharmaceutical Statistics
Publication Type :
Academic Journal
Accession number :
149090205
Full Text :
https://doi.org/10.1002/pst.2079