Literature DB >> 33686762

Estimands in hematologic oncology trials.

Steven Sun1, Hans-Jochen Weber2, Emily Butler3, Kaspar Rufibach4, Satrajit Roychoudhury5.   

Abstract

The estimand framework included in the addendum to the ICH E9 guideline facilitates discussions to ensure alignment between the key question of interest, the analysis, and interpretation. Therapeutic knowledge and drug mechanism play a crucial role in determining the strategy and defining the estimand for clinical trial designs. Clinical trials in patients with hematological malignancies often present unique challenges for trial design due to complexity of treatment options and existence of potential curative but highly risky procedures, for example, stem cell transplant or treatment sequence across different phases (induction, consolidation, maintenance). Here, we illustrate how to apply the estimand framework in hematological clinical trials and how the estimand framework can address potential difficulties in trial result interpretation. This paper is a result of a cross-industry collaboration to connect the International Conference on Harmonisation (ICH) E9 addendum concepts to applications. Three randomized phase 3 trials will be used to consider common challenges including intercurrent events in hematologic oncology trials to illustrate different scientific questions and the consequences of the estimand choice for trial design, data collection, analysis, and interpretation. Template language for describing estimand in both study protocols and statistical analysis plans is suggested for statisticians' reference.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  ICH E9 addendum; estimand; hematology clinical trials; intercurrent events

Mesh:

Year:  2021        PMID: 33686762     DOI: 10.1002/pst.2108

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  2 in total

Review 1.  A Review of Causal Inference for External Comparator Arm Studies.

Authors:  Gerd Rippin; Nicolás Ballarini; Héctor Sanz; Joan Largent; Chantal Quinten; Francesco Pignatti
Journal:  Drug Saf       Date:  2022-07-27       Impact factor: 5.228

2.  Estimands for factorial trials.

Authors:  Brennan C Kahan; Tim P Morris; Beatriz Goulão; James Carpenter
Journal:  Stat Med       Date:  2022-06-25       Impact factor: 2.497

  2 in total

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