There was an interesting paper this week on different stakeholders understanding of the concept of #equipoise. Equipoise is an essential concept in clinical trials but is often not well understood 1/8 #MethodologyMonday
For it to be ethical to randomise in a trial, it is important that there is uncertainty which treatment is best 2/8
Originally uncertainty (equipoise) had to be at the level of the individual clinician but was refined to uncertainty at the professional community level by Freedman in the 1980s 3/8 nejm.org/doi/full/10.10…
Equipoise has often, however, been noted to be hard to define/operationalise and this week’s paper by Dewar et al found 7 different conceptualisations of equipoise among a set of trial stakeholders 4/8 trialsjournal.biomedcentral.com/articles/10.11…
There have been many previous papers highlighting the difficulties clinicians can have with equipoise. Lottie Davies et al also showed how the issue can be particularly amplified in some trial designs eg trials of surgical vs non-surgical treatments 5/8 trialsjournal.biomedcentral.com/articles/10.11…
There was also an interesting debate paper in the BMJ a number of years ago that put forward arguments for and against the continuing relevance of equipoise 6/8 bmj.com/content/359/bm….
However, despite the variation, the Dewar et al paper found that the concept of equipoise/uncertainty is still seen to be a fundamental principle underpinning trial design. 7/8
This suggests to me that transparency is key - we should be open in our trial reports what constituted the underlying uncertainty that underpinned the concept of equipoise in our particular trial 8/8
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For a factorial trial of say 2 treatments, patients are allocated to 1 of 4 groups: Gp1 receives both treatments A and B; Gp2 receives only A; Gp3 receives only B; and Gp4 receives neither A nor B (the control) 3/7 cambridge.org/core/services/…
Mostly we set up trials to test if a new treatment is better than another (ie we test for superiority) but in a #NonInferiority design we wish to test if a treatment is not unacceptably worse than a comparator. 2/8
The main reasons why we might look for non-inferiority is when an alternative treatment is say much cheaper, or has fewer side effects … but we would only wish to use it if the benefits of the standard treatment are not significantly compromised. 3/8 onlinelibrary.wiley.com/doi/full/10.10…
Having spent the last couple of weeks discussing composite & surrogate outcomes, I was reminded this week of the importance of thoughtful planning on the choice of outcomes in the first place 1/6 #MethodologyMonday
In particular I was reminded of the fundamental work of #Donabedian to conceptualise what is important to measure to assess quality of (and improvement in) health care. Although developed decades ago, it remains just as relevant today 2/6 jamanetwork.com/journals/jama/…
When we seek to assess the impact of a new intervention on care, the Donabedian model suggests there are 3 elements that may be impacted - the #structure the #process and the #outcome of care 3/6
Last week I discussed composite endpoints and how while they can be useful, they can also be fraught with difficulty. The same descriptors could equally be applied to #SurrogateOutcomes in clinical trials 1/9 #MethodologyMonday
A #SurrogateOutcome is a substitute measure (eg blood pressure) that one might use to stand in for the real outcome of interest (eg stroke) when the real outcomes of interest may take a very long time to measure - to allow trials to be completed more quickly & efficiently 2/9
Surrogate outcomes can take many forms and may be histological, physiological, radiological etc … biomarkers that predict events 3/9
Choosing the right outcome is key to a clinical trial. Sometimes a #CompositeOutcome
- an outcome that combines more than one dimension into a single measure - is felt to be most appropriate. These can be useful but can be fraught with difficulty 1/8 #MethodologyMonday
One of the primary reasons for using a composite outcome is trial efficiency - you can get more events quickly compared to the individual components thus increasing precision and efficiency in sample size calculations 2/8 jamanetwork.com/journals/jama/…
However, the validity of a composite relies on consistency of the individual components -see Montori et al 3/8
Given the complexity of delivering clinical trials, they are a fertile ground to gain from #interdisciplinary thinking. For example, the field of trial #recruitment has already gained enormously from insights from other disciplinary approaches 1/7 #MethodologyMonday
A recent paper highlighted the use of #StatedPreference methods in this space. It showed aspects of trial design can affect recruitment 2/7
#StatedPreference methods eg discrete choice experiments are more commonly used by health economists to value and quantify aspects of health care but can be used to determine preference priorities in any domain 3/7