Scrutinise the evidence behind any paper.
Papers stop at publication. The evidence doesn't. See how it has moved on a paper's main claims since it was published.
Engine settings
What makes this different
AI can summarise a paper, but a summary cannot tell you how the evidence has moved since it was published.
We have built a systematic evidence protocol that finds the papers bearing on a claim, weighs each one, argues the case against, and grades the result on a fixed scale. It lets researchers see where a paper's claims stand today, what they rest on, and what research would shift them.
How it works
- 01Share a DOIScrutinise reads the abstract and lists the paper's main claims.
- 02Choose a claimPick the one you want checked.
- 03Get the full evidence review by emailEvery paper on the claim, from before publication and since, weighed by a four-role panel.
What you get
A claim review showing where the evidence stands today.
Example: Perkovic et al., N Engl J Med 2024 · GLP-1 receptor agonists reduce all-cause mortality in type 2 diabetes
- 01
Where the claim stands today
One grade from 0 to 100 on a fixed scale, from Refuted to Established.
85Established - 02
The papers it rests on
Every paper on the claim, before and since publication, with what it does to the claim and the sentence that decides it.
SupportsMarso et al. 2016 · RCT, n = 9,340Does not bearLincoff et al. 2023 · people without diabetes - 03
The case against
One reviewer's only job is to argue against the verdict. Its strongest objections sit beside the grade.
"Mortality was exploratory, not multiplicity-protected." - 04
Research gaps that could shift it
The gap that would most move the claim, the study that would close it, and the questions still open.
The study that would close it: a placebo-controlled RCT in type 2 diabetes powered on all-cause mortality as its primary, multiplicity-protected endpoint.
Every claim review is open to correction.
Add a paper that should be there, or flag one that was misread. The claim is re-graded with the change, and accepted corrections go into Priors, the open registry of claims in health and medicine.
See where any paper stands.
Share a DOI, choose a claim, and the full evidence review is emailed to you.