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Rigor Showcase
The full Adcurare rigor engine, run over recent randomized trials in NEJM, The Lancet, Nature Medicine, and The BMJ. What a careful second read surfaces, and which papers it flags first.
How to read this. A prevalence read, not an accuracy claim. Findings are candidate issues for expert review, not proven errors.
A paper in NEJM or The Lancet has already cleared the most demanding peer review in medicine. That is exactly why it is a fair test. We ran the full Adcurare rigor engine over recent high-impact randomized trials from the leading medical journals, then published every review. Here is what a careful second read turns up, and, more importantly, which papers it flags first.
How to read the numbers
We took recent, high-impact randomized controlled trials from the leading general-medical and clinical journals, NEJM, The Lancet, Nature Medicine, The BMJ and peers, and ran each through the same rigor engine the product ships, in full audit mode with nothing skipped. Each paper gets recomputed statistics, protocol-to-publication and claim-to-evidence checks, citation-integrity and reporting-completeness passes, and a 1-to-5-star rating built from itemized deductions. The complete review for every paper is published in the Rigor Showcase, so nothing here is a headline without a record behind it.
Trials re-read
Every review is published in full
Rated critical
Flagged for priority expert review — 3% of the set
Carried a candidate issue
11 came through with nothing worth flagging
Almost every trial carries at least one candidate issue somewhere, which is unsurprising: no paper is perfect, and a thorough read of anything long enough will find something worth a second look. If the tool stopped there it would just be alert fatigue. The value is in the ranking. Of 101 trials, the engine rates 3 as critical and pushes them to the front of the queue. Those are the ones a diligence team should read first.
A critical rating is not a verdict of misconduct or a claim that the trial is wrong. It means the engine found a demonstrable, high-severity issue that a qualified reviewer should adjudicate. Decision impact is determined by that reviewer, not asserted by the score.
Across the set, the findings cluster in a familiar handful of places: statistics that don’t recompute, citation-integrity issues, unshared data or code. The most common specific findings, counted by how many distinct papers show each one:
| Finding |
|---|
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| Papers |
|---|
| Data and code not shared | 60 |
| Internal contradictions in the reported numbers | 41 |
| Key resources under-identified (antibodies, cell lines, RRIDs) | 27 |
| References not resolvable to a published paper | 20 |
| Study-design details incomplete (controls, blinding, power) | 16 |
| Statistical reporting gaps (tests, assumptions, effect sizes) | 15 |
The problems are not confined to one venue. They show up across the most selective journals in medicine, in proportion to how many of their trials we have read so far.
| Journal | Trials re-read |
|---|---|
| Nature Medicine | 30 |
| NEJM | 29 |
| The BMJ | 27 |
| The Lancet | 12 |
| Ann Neurol | 1 |
| BMC Neurosci | 1 |
A note on the literature
Figures as of August 2, 2026, from the published Rigor Showcase. They grow as we re-read more trials.