OnCo
ideasIdea

Emulate the trial in real-world data first to decide which trials to run

Before spending millions on a randomised trial, analyse existing patient records as if the trial had already happened. If the answer is obvious or the question is unanswerable, skip or redesign the trial.

Funders require a target-trial emulation in linked EHR or registry data as part of any application for a comparative-effectiveness trial: the emulation estimates the likely effect size, event rates, eligible population and recruitment feasibility, and identifies confounders to stratify on. Trials proceed where emulation is inconclusive or where residual confounding is plausible; the emulation also serves as a pre-registered comparator for the trial's result.

Hypothesis
Trials prioritised by emulation will have a higher rate of informative (positive or clearly negative) results and lower rates of underpowered or unfeasible studies than trials prioritised by expert opinion alone.
Rationale
Target-trial emulation has reproduced randomised results in several therapeutic areas when done carefully; it is cheap relative to a trial and improves design assumptions (event rates, effect sizes) that commonly fail.
What would test it
A funder runs emulations for all comparative-effectiveness proposals over two funding rounds and follows the completed trials for informativeness versus the previous rounds.
Maturity
early clinical
Who has to act
data
Cost to try
Small (under $1M)
Years to first evidence
2
Bottlenecks it attacks

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