The efforts of this CTTI project resulted in the AACT database, which allows researchers and analysts to perform analyses on a study dataset (a group of several studies) and not just within an individual study. Data from 2010 provided CTTI with a snapshot of the state of clinical trials, which showed that the clinical trial ecosystem is dominated by small clinical trials, many of which are not funded by the NIH or industry, and contains significant heterogeneity in methodological approaches that typically do not provide enough robust data to guide critical medical decisions. High-quality evidence is still needed to guide medical decisions; this analysis reinforced the need to evaluate a number of aspects of the clinical trial enterprise.
CTTI also created a method to identify and group the clinical trials by specialty, such as pediatrics, infectious diseases, etc. This helps researchers know which trials have been completed in each medical specialty, or to compare trials between specialties—for example, to compare the average number of participants in cardiovascular trials to those in oncology trials. In addition to the AACT database itself, CTTI created a detailed data dictionary that provides documentation about the source, coding, and history of variables collected in AACT; a high-level data dictionary containing a summary of these variables; and guidelines to consider when planning a statistical analysis of the ClinicalTrials.gov database.
The AACT Points to Consider document provides guidelines for investigators to consider when planning a statistical analysis of the ClinicalTrials.gov database.