Solutions

Meta-analysis

  • Aim: To combine multiple evidence sources into a single estimate of efficacy and/or safety -> quantifying the effectiveness of your product
  • Meta-analysis is one of the highest levels of clinical evidence available
  • Network meta-analysis to compare multiple products
  • Indirect treatment comparison and Bayesian methods
  • Informed by systematic review, these studies are publishable in high-aimpact journals and at congresses
  • Informs: Value messaging, product positioning, medical communications, and sales strategy
  • See our work

What is Meta-analysis?

In most settings, healthcare providers and payers can select their product of choice from multiple available options. Each of these products is usually backed by positive clinical data, so the question becomes which product is backed by the most evidence and the most robust evidence. This question can be answered via a meta-analysis.

Meta-analysis is viewed as some of the highest levels of clinical evidence available and their outcomes are likely to publishable. It takes data from multiple randomized, controlled trials and synthesises the estimates of effectiveness from each individual trials into an overall estimate of effectiveness. Using meta-analysis, multiple trials showing non-significant or only minor benefits may result in a significant difference between products as the power of the individual studies is magnified. Alternatively, the significant benefit observed in a few trials may be outweighed by multiple trials showing no difference between products.

For further details on meta-analysis please contact us or consult:

  • The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.Liberati et. al, 2009.

What is Network Meta-Analysis?

Healthcare providers and payers can often select their product of choice from multiple available options. As each of these products is usually backed by positive clinical data, so the question becomes which product is backed by the most evidence and the most robust evidence. This question can be answered via a network meta-analysis.

(Network) Meta-analysis is viewed as some of the highest levels of clinical evidence available. It takes data from multiple randomized, controlled trials and synthesises the estimates of effectiveness from each individual trials into estimates of head-to-head effectiveness. Using network meta-analysis, a probability of superiority per product can be calculated. As with meta-analysis, multiple trials showing non-significant or only minor benefits may result in a significant difference between products as the power of the individual studies is magnified.

In a network meta-analysis, multiple treatments (three or more) are being compared using both direct comparisons and indirect data. Indirect data are linked via a common comparator, e.g. the standard of care or control arm. If an analysis considers the efficacy and safety of two products only connected via indirect data, this is known as an indirect treatment comparison rather than a network meta-analysis. Network meta-analysis and indirect treatment comparison are statistically complex and involve Bayesian analysis. When compared with standard meta-analysis, this can make their outcomes more difficult to communicate effectively. The likelihood of publication, though, is also high and these studies are of interest to physicians as well as healthcare payers and providers.

Further Reading: