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Non-inferiority versus superiority drug claims: the (not so) subtle distinction

Overview of attention for article published in Trials, June 2017
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Title
Non-inferiority versus superiority drug claims: the (not so) subtle distinction
Published in
Trials, June 2017
DOI 10.1186/s13063-017-2024-2
Pubmed ID
Authors

Jitendra Ganju, Dror Rom

Abstract

Current regulatory guidance and practice of non-inferiority trials are asymmetric in favor of the test treatment (Test) over the reference treatment (Control). These trials are designed to compare the relative efficacy of Test to Control by reference to a clinically important margin, M. Non-inferiority trials allow for the conclusion of: (a) non-inferiority of Test to Control if Test is slightly worse than Control but by no more than M; and (b) superiority if Test is slightly better than Control even if it is by less than M. From Control's perspective, (b) should lead to a conclusion of non-inferiority of Control to Test. The logical interpretation ought to be that, while Test is statistically better, it is not clinically superior to Control (since Control should be able to claim non-inferiority to Test). This article makes a distinction between statistical and clinical significance, providing for symmetry in the interpretation of results. Statistical superiority and clinical superiority are achieved, respectively, when the null and the non-inferiority margins are exceeded. We discuss a similar modification to placebo-controlled trials. Rules for interpretation should not favor one treatment over another. Claims of statistical or clinical superiority should depend on whether or not the null margin or the clinically relevant margin is exceeded.

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Other 8 20%
Lecturer > Senior Lecturer 4 10%
Student > Ph. D. Student 4 10%
Researcher 4 10%
Student > Bachelor 2 5%
Other 8 20%
Unknown 10 25%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Pharmacology, Toxicology and Pharmaceutical Science 5 13%
Nursing and Health Professions 4 10%
Agricultural and Biological Sciences 2 5%
Linguistics 1 3%
Other 6 15%
Unknown 12 30%