Recommendations that move when the evidence moves.
Living reviews flag the day a pooled estimate moves, so recommendations stay aligned with the evidence — and every effect estimate links back to the study it came from.
Living reviews · treatment networks · source-linked estimatesFrom guidelines that age to evidence that keeps pace.
Same workflow, two states. Flip the switch to see what changes.
Live · re-runs as trials are indexed
- The evidence base
- Re-runs as new trials are indexed
- living
- New RCTs
- Flagged the day they’re indexed
- days
- The recommendation
- Moves when the evidence moves
- current
The evidence base, kept current for you.
Build the review once, let it re-run as new trials are indexed, and inspect every estimate back to its source.
Build the comparison once
- A systematic review and a network meta-analysis
- Anchored against every relevant comparator
- Defensible from the first submission
Re-runs on a schedule
- The whole pipeline re-runs on a cadence
- Flags when a new trial moves the result
- A signed record of what changed, each cycle
No black box
- Deterministic statistics — same inputs, same result
- Every estimate traces to its source study
- Change an assumption and re-run
Conclusions that hold up in peer review.
We reproduced a published meta-analysis: 3 of 4 endpoints within 6%.
One analyst rebuilt a peer-reviewed meta-analysis end to end in 2 days. Pooled estimates for three of four endpoints landed within 6% of the published values, and the case study explains the fourth. The statistics are deterministic: the same inputs always give the same result.
Read the case studyComparisons a committee will accept
Pairwise and network meta-analysis, plus population-adjusted indirect comparisons, with certainty grading — every step inspectable.
- Network meta-analysis
- MAIC
- STC
- ML-NMR
- Custom methods
- GRADE certainty