Evidensity runs the stages of a systematic literature review (SLR) — search, screening, extraction, synthesis — as one structured, reproducible pipeline. Every figure is bound to the source quote it came from, and the whole method is benchmarked against published meta-analyses.
A structured query runs across more than ten academic databases — including PubMed, Europe PMC, Semantic Scholar, OpenAlex, Crossref and arXiv — to assemble the candidate corpus. Recall comes first: the aim is to surface every potentially relevant study, not a convenient sample.
PRISMA · IdentificationEvery record is screened against explicit, pre-stated inclusion and exclusion criteria. On-topic studies pass, off-topic ones are excluded, and ambiguous ones are flagged for review rather than silently dropped — so the resulting corpus is defensible and reproducible.
PRISMA · Screening & eligibilityFor each included paper the full text — not just the abstract — is parsed into a structured schema: methods, datasets, sample sizes, outcomes, effect sizes and confidence intervals. Findings are captured as data, not prose, so they can be compared and pooled downstream.
Structured data extractionEvery extracted figure and claim is bound to the verbatim sentence and section it came from. Nothing enters the synthesis without a traceable source span — this is the mechanism behind “every claim, cited.”
Traceability · audit trailExtractions are cross-checked across stages to catch inconsistencies, and each study receives a multi-dimensional credibility assessment — methodological soundness, reporting completeness, directness. Weaker evidence is down-weighted and labelled, not silently mixed in.
Risk-of-bias · GRADE-style certaintyWhere outcomes are comparable, effects are pooled with random-effects meta-analysis (restricted maximum likelihood, REML), reporting heterogeneity (I², τ², Q), prediction intervals and forest plots. Where pooling isn’t appropriate, the synthesis stays narrative — and says so.
Random-effects meta-analysisA general-purpose model will summarise a literature and sound confident; it won’t show you where each number came from. Evidensity inverts that. Every figure in a report resolves to the exact words it was extracted from — here is the shape of a single citation (illustrative):
Edoxaban reduced the primary endpoint — stroke or systemic embolism — versus warfarin (hazard ratio 0.79).
See it live: hover any citation in the GLP-1 or DOAC evidence bundle and the source’s own sentence appears.
The strongest test of a method is whether it reproduces results an independent team has already published. Run from a single plain-text question, the pipeline reproduces the headline findings of landmark meta-analyses:
Both are on the Life Sciences page, with forest plots and the full concordance.
Every engagement arrives as a single interactive evidence bundle: browse the whole corpus, trace each claim to its source quote, and inspect the credibility scorecard, forest plots and the full reference list. It is one HTML file — readable by your team without dependencies, indexable in your own systems, and stable years from now.
Free scoping assessment, returned within 24 hours. No commitment.
or email directly: evidensity.research@gmail.com