Publish faster. Stay audit-ready.
AI-assisted meta-analysis from question to manuscript. Axelium combines intelligent screening and extraction with reproducible statistics — so your team delivers rigorous reviews in days, not months.
Four modules first. Eleven stages when you need detail.
A review team does not need to parse every stage on first pass. Axelium reads as four connected modules, with the full audit-ready workflow underneath for evaluators and methods teams.
Find evidence
Build searches, import references, de-duplicate records, and keep the source trail visible from the start.
Screen and extract
Move from title/abstract decisions to full-text review and source-linked extraction without switching tools.
Analyze and grade
Run pairwise or network synthesis, inspect diagnostics, and connect certainty review to the underlying evidence.
Report and keep current
Export review artefacts, preserve sign-off, and turn completed reviews into living evidence workflows.
The full 11-stage pipeline. One living loop.
Eleven stages from research question to published manuscript, with sign-off gates at the milestones that matter and a living-review loop wrapped around the whole pipeline. Everything on one platform — no stitched-together exports, no copy-paste between tools.
Every stage, integrated. Then kept current.
From research question to published manuscript to a living evidence base — every stage integrated, auditable, and designed for teams that demand rigour.
Seen enough? — free tier runs the full pipeline on one real review, end to end.
Every search becomes a PRISMA flow.
The diagram updates itself as records move through the pipeline. Identification, screening, eligibility, included — with every exclusion category linked to the studies it removed. Export as Word, PDF, or a publication-ready figure with one click.
- Counts trace to the underlying studies — every number in the diagram is a live link in the app.
- Conforms to PRISMA 2020. Every reviewer decision is timestamped and reproducible.
- Living reviews keep the diagram current — the version in your manuscript matches the one in the app.
Each exclusion category traces to the studies it removed. Click any number in the live app to see the underlying list.
Detect publication bias at a glance.
A funnel plot puts every included study on a single chart — precision on the vertical axis, effect size on the horizontal. Asymmetry is the visual fingerprint of missing small negative trials. The plot is paired with Egger's and Begg's tests so a reviewer can quote both the picture and the number.
- HTA submissions require a publication-bias appraisal whenever ten or more studies are pooled — the funnel plot is the expected first artefact.
- Contour-enhanced and trim-and-fill variants are one click away, with the statistical tests and a plain-language interpretation alongside the figure.
- Every plot is regenerated when new evidence arrives — the figure in your dossier matches the live evidence base on the day you submit.
Compare every intervention in one connected workflow.
Axelium connects review evidence to advanced synthesis: teams can prepare treatment networks, review assumptions, inspect network outputs, and keep certainty review tied to the extracted data that produced the model.
- Prepare treatment nodes before interpreting a connected evidence network.
- Inspect network graphs, league tables, rankings, and diagnostics in the same workspace as extraction.
- Keep rankings separate from certainty, with reviewer checkpoints before conclusions move into a report.
Every reviewer-facing tool implements a published methodological standard. The references below are the ones our automation answers to — not in spirit, in code.
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
Page MJ, McKenzie JE, Bossuyt PM, et al.
BMJ 2021;372:n71
Cochrane Handbook for Systematic Reviews of Interventions
Higgins JPT, Thomas J, Chandler J, et al.
Version 6.5, Cochrane
RoB 2: a revised tool for assessing risk of bias in randomised trials
Sterne JAC, Savović J, Page MJ, et al.
BMJ 2019;366:l4898
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt GH, Oxman AD, Vist GE, et al.
BMJ 2008;336:924
Drops into your existing review workflow.
Bring your references in, send your manuscript out — Axelium connects to the databases, reference managers, and authoring tools you already use.
Import RIS or BibTeX from EndNote, Zotero, Mendeley, Embase, and Web of Science.
Export to RevMan 5 (.rm5) for risk-of-bias and final authoring.
PubMed, ClinicalTrials.gov, EuropePMC, OpenAlex, CENTRAL, MAUDE, ERIC.
Walk references, citers, and recommendations via Semantic Scholar.
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