AI-powered methodology audits for medical researchers, peer reviewers, and grad students.
Audits across five core methodology dimensions · every issue cited to your PDF.
No a priori power calculation is reported. With 48 enrolled patients, the study may be underpowered to detect the stated effect size.
“A total of 48 patients were enrolled and randomized 1:1…”· p.4
A baseline age imbalance between arms is not adjusted for in the primary analysis.
“Mean age was 54.2 (treatment) vs 61.8 (control)…”· p.6
+ 1 more issue in the full report
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Each study is checked across core methodology dimensions — study design, sample size, statistics, bias control and reproducibility — grounded in the actual text.
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No vague hand-waving and no hallucinated claims. Each finding quotes the relevant line and gives you the page number, so you can verify it in seconds against the original PDF. Pro adapts to each paper’s actual methods rather than running a generic checklist.
Multiple secondary endpoints are tested without correction for multiple comparisons, inflating the risk of false-positive findings.
“Significance was set at p < 0.05 for all comparisons…”· p.8
The registered primary outcome differs from the one emphasized in the abstract, suggesting possible outcome switching.
“The primary endpoint was change in LVMI at 12 months…”· p.3
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