Identify published randomized clinical trials and observational cohorts assessing the efficacy of different class of interventions on clinically relevant outcomes, divided in structural and symptomatic outcomes |
Using above data, produce clinical prediction tools to quantify a patient’s risk of progression and good outcomes from treatment interventions |
With available data, identify phenotypes of patients according to their outcome. Panel of (bio)markers (clinical, biochemical, imaging) should be investigated, rather than individual items |
Assess the uniformity of data across clinical trials and cohorts |
Proceed to a validation step on a separate validation cohort |
Ensure that all new cohorts and trials use the same core dataset to allow easy integration into extant data |
Possible limitations: |
The availability of the data and of the biological specimens in cohorts |
The high heterogeneity in the assessments methods and reporting (e.g., multiple assessment tools for pain), which would require a hierarchical/standardization of criteria |