Literature DB >> 14583896

Why do phase III trials of promising heart failure drugs often fail? The contribution of "regression to the truth".

Henry Krum1, Andrew Tonkin.   

Abstract

There has been considerable recent disappointment with the failure of a number of major new pharmacological strategies for the treatment of chronic heart failure. In turn, there has been much speculation as to why trials of these therapies have not shown benefit. Among a number of plausible and scientifically valid reasons, consideration should be afforded to the potential contribution of "regression to the truth." Regression to the truth derives from the biological concept of regression to the mean, whereby random fluctuations in a biological variable occur over time, such that the true value of the variable is approached with repeated measurements. This same concept can be applied to clinical trial programs for new drugs for heart failure. Because only strongly positive trials generally go on to phase III testing, and some of these early phase studies are positive by chance alone, on retesting in phase III the results are very likely not be as strongly positive. Numerous examples of regression to the truth apply for trials of heart failure therapies, as well as in other areas. A major concern is how to minimize negative outcomes in phase III trials. One approach is to perform major rigorous phase II testing. Alternatively, avoidance of phase II testing will minimize "regression to the truth" because there are no data in phase II from which regression might occur. However, this approach does not obviate the need for an evaluation process in the selection of candidate agents (and their appropriate dose) in order to proceed to definitive testing.

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Year:  2003        PMID: 14583896     DOI: 10.1054/s1071-9164(03)00018-6

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  6 in total

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Authors:  Rajesh Gupta; Jörn Tongers; Douglas W Losordo
Journal:  Circ Res       Date:  2009-10-09       Impact factor: 17.367

2.  Assessing regression to the mean effects in health care initiatives.

Authors:  Ariel Linden
Journal:  BMC Med Res Methodol       Date:  2013-09-28       Impact factor: 4.615

Review 3.  Embracing failure: What the Phase III progesterone studies can teach about TBI clinical trials.

Authors:  Donald G Stein
Journal:  Brain Inj       Date:  2015-08-14       Impact factor: 2.311

4.  Accumulation Bias in meta-analysis: the need to consider time in error control.

Authors:  Judith Ter Schure; Peter Grünwald
Journal:  F1000Res       Date:  2019-06-25

Review 5.  Phase 4 Studies in Heart Failure - What is Done and What is Needed?

Authors:  Pupalan Iyngkaran; Danny Liew; Peter McDonald; Merlin C Thomas; Christopher Reid; Derek Chew; David L Hare
Journal:  Curr Cardiol Rev       Date:  2016

6.  Telemedical monitoring of patients with chronic heart failure has a positive effect on total health costs.

Authors:  Robert Herold; Wolfgang Hoffmann; Neeltje van den Berg
Journal:  BMC Health Serv Res       Date:  2018-04-10       Impact factor: 2.655

  6 in total

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