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Incorporating and interpreting regulatory guidance on estimands in diabetes clinical trials: The PIONEER 1 randomized clinical trial as an example.

Diabetes Obes Metab · 2019

Last updated 2026-05-28

This paper explains how clinical trials use 'estimands'—a framework to clearly define what a study measures, including how it handles events like patients stopping treatment or needing extra medication. Using the PIONEER 1 trial as an example, researchers tested oral semaglutide against a placebo in people with type 2 diabetes. They used two estimands: one measured the treatment effect regardless of whether patients stopped the medication or took additional treatments, while the other measured the effect if all patients had stayed on the medication without extra treatments.

AI summary of the abstract below.

JournalDiabetes Obes Metab, 2019
Citations57
Relative citation ratio2.58
NIH percentile81
Molecules
Conditions studied Type 2 Diabetes

Abstract

Regulatory guidelines describe the use of estimands in designing and conducting clinical trials. Estimands ensure alignment of the objectives with the design, conduct and analysis of a trial. An estimand is defined by four inter-related attributes: the population of interest, the variable (endpoint) of interest, the way intercurrent events are handled and the population level summary. A trial may employ multiple estimands to evaluate treatment effects from different perspectives in order to address different scientific questions. As estimands may be an unfamiliar concept for many clinicians treating diabetes, this paper reviews the estimand concept and uses the PIONEER 1 phase 3a clinical trial, which investigated the efficacy and safety of oral semaglutide vs placebo, as an example of the way in which estimands can be implemented and interpreted. In the PIONEER 1 trial, two estimands were employed for each efficacy endpoint and were labelled as: (a) the treatment policy estimand, used to assess the treatment effect regardless of use of rescue medication or discontinuation of trial product, and provides a broad perspective of the treatment effect in the population of patients with type 2 diabetes in clinical practice; and (b) the trial product estimand, used to assess the treatment effect if all patients had continued to use trial product for the planned duration of the trial without rescue medication, thereby providing information on the anticipated treatment effect of the medication. Both approaches are complementary to understanding the effect of the studied treatments.

Verbatim abstract via PubMed 31168921 ↗