What is this effects table and why should I create one?

8 reasons for creating an effects table

Originating from the EMA Benefit-Risk Methodology Project, the effects table has become one of the most commonly discussed tools in the area of benefit-risk assessment (PrOACT-URL (Oct16)). In fact, its prominence has grown significantly since February 2015 when it became a CHMP requirement for EMA clinical assessors to include an effects table in European Public Assessment Reports (EPARs).

So, what is it?

Benefit-Risk in HTA and best practices based on case studies

have a look at the webinar

In our webinar in Feburary 2017, we had 2 presentations from widely known speakers:

The emerging and merging fields of benefit-risk and health technology assessments

by Jason (Jixian Wang), Shahrul Mt-Isa and Susan Talbot, on behalf of the EFSPI BRA/HTA joint working group

Benefit-Risk Assessment via Case Studies: Key Considerations and Best Practices

by George Quartey

The webinar occured twice and the recording is now available here.

Here is some further background information about the content and the presenters (here is the pdf-file for further distribution):

The emerging and merging fields of benefit-risk and health technology assessments

jasonAbstract: Benefit-risk assessments (BRA) focus on clinical aspects of health care products and are often seen as purely regulatory activities, while health technology assessments (HTA)

Examples of benefit-risk assessments comparing antipsychotic treatments

2 publications on using BRAT and DCE in the same setting

Levitan et al and Katz et al have recently published research on the comparison of treatments against schizophrenia. Both papers are available under open access. Levitan et al. report on a clinical study results from two similar placebo controlled studies. The indirect comparison was not done via a classical Bucher method but using IPD data as described in Markowitz et al (2013) which also contains the basis for this post-hoc analyses. Levitan et al performed a post-hoc benefit-risk assessment using the Benefit-Risk Action Team framework. The key benefits and risks are reported using a value tree. The benefit-risk assessment differentiates between short term (8 weeks) and long term (40 weeks) outcomes. For both time points similar effects tables and associated plots are provided, that display the events per 1000 patients and the response or risk differences with 95% confidence intervals. Continuous outcomes like PANSS and CGI-S as well as weight increases were dichotomized using common criteria.

In a related paper Katz et al describe how patients and physicians in these clinical trials quantified preferences related to benefits and risks of antipsychotic treatments. Via the used discrete choice experiment, the authors assess the impact of prior patient adherence on the relative importance of treatment efficacy and formulation. This publication shows a nice incorporation of such a preference study within clinical trials and might be the first time, that such a DCE as successfully implemented in such a trial.

Did you find this reference helpful? Would you like to learn more about it? Please provide comments below.