Our review revealed a great heterogeneity in definition , format , and values of what is considered a clinical ly relevant difference in pain in RCTs of analgesics , and st and ardizations are advisable
OBJECTIVE To describe the  pain decrease considered as clinical ly relevant when design ing a trial and reporting its results .
Use of the cumulative proportion of responders analysis graph to present pain data over a range of cut-off points: making clinical trial data more understandable.
In r and omized controlled trials , no single definition of response is ideal for all purpose s. We propose a method to present in a simple fashion the likelihood of response over a full range of response levels , which will facilitate a better underst and ing of clinical trial data . We present the technique called the  cumulative proportion of responders analysis  ( CPRA ) and its application to four pain clinical trial data sets as examples . The CPRA can be used to present the proportion of responders over the entire range of possible cut-off points as a graph . This allows the reader to compare treatment groups at any responder level that is valid for their patient population . Whether as a primary or secondary approach to a clinical trial of pain therapy , the display of data in a CPRA format may be useful in the underst and ing of results and applicability to patient care
Our review revealed a great heterogeneity in definition , format , and values of what is considered a clinical ly relevant difference in pain in RCTs of analgesics , and st and ardizations are advisable
OBJECTIVE To describe the  pain decrease considered as clinical ly relevant when design ing a trial and reporting its results .