A systematic review combined with meta-analysis has become the recognised gold-standard in high quality evidence-based medicine. Output of this type will often be required as part of a Health Technology Appraisal (HTA), but it can also be a powerful tool when used within a marketing strategy. We have the expertise to carry out the following types of meta-analysis:

Conventional meta-analysis

Based on the summary results of published clinical trials, conventional meta-analysis allows multiple results to be pooled in such a way that a more precise estimate of treatment effect can be obtained. Of particular value where the evidence base consists of multiple small studies without a consistent result.

Mixed treatment comparison

Where data is needed to assess the performance of your product versus a competitor, in the absence of direct comparative studies, a mixed treatment comparison allows reliable estimates to be made of the relative benefits of multiple possible therapies within a given disease area. Thus if you have some studies comparing Drug A versus Drug B, and others comparing Drug B with Drug C, a mixed treatment comparison allows an assessment of Drug A versus Drug C.

Individual patient meta-regression analysis

Conventionally, meta-analysis pools the results from several studies, based on the mean values published in the literature. Differences in patient populations, however, can make it difficult to generalise conclusions. An individual patient analysis, by drawing on the detailed study results, allows these differences to be compensated for, and allows meaningful subsets of patients in whom results are best to be identified.