Systematic Reviews and Meta-Analyses: reviewed like a reviewer would
A systematic review is only as trustworthy as its references and its search. Reference errors are common in the literature, fabricated citations are now a documented risk, and retractions inside an included-study list are invisible unless someone checks every DOI.
Built around PRISMA 2020.
- PRISMA 2020 audit: eligibility criteria, information sources and full search strategies, selection and data-collection processes, risk-of-bias methods, synthesis methods, certainty assessment, registration and protocol.
- Every reference, including every included study, checked against PubMed and Crossref and screened for retractions by DOI, with a per-reference status table in the report.
- Heterogeneity, model choice, small-study effects, and whether pooled estimates are reported with the uncertainty the methods promise.
- Compliance audit against the target journal's author instructions.
- Journal formatting applied to the .docx as tracked changes, included.
Why this matters, in numbers.
A meta-analysis of 28 studies found 25.4% of quotations in medical journal articles were inaccurate: 11.9% major and 11.5% minor errors. [43]
55% of the references ChatGPT-3.5 generated for literature reviews were fabricated, versus 18% for GPT-4; 43% and 24% of the real ones contained substantive errors. [35]
The Retraction Watch Database held 66,901 retraction records on 12 September 2026; 13,226 are dated 2023, of which 9,673 are Hindawi titles, followed by 6,356 in 2024 and 5,905 in 2025. [34]
Reviewers found flaws in the methods of 85.7% of 42 manuscripts submitted to medical journals in Africa and Asia, and in the references of 69.0%. [13]
Crossref lists 6,628,652 journal articles with a 2025 publication date, up from 3,342,205 for 2015. [11]
About 75% of published articles were submitted first to the journal that published them; high-impact journals published proportionally more resubmissions. [48]
One pass, $49.
It cannot detect fabricated or falsified data, manipulated images, or anything that is not visible in the manuscript text and references. It finds the manuscript-visible problems that reviewers and editors find, before they do.
Questions, answered.
Don't see yours? Email us — we read every one.
Sources cited on this page
- [1]Crossref REST API, count of works of type journal-article by publication year. Query run 12 September 2026. api.crossref.org/works?filter=type:journal-article,from-pub-date:2025-01-01,until-pub-date:2025-12-31&rows=0database query (reproducible) · verified 2026-09-12
- [2]Ezeala C, Nweke I, Ezeala M. Common errors in manuscripts submitted to medical science journals. Annals of medical and health sciences research 2013. doi:10.4103/2141-9248.117957 PMID 24116317.peer-reviewed article (Europe PMC / Crossref record) · verified 2026-09-12
- [3]Retraction Watch Database (Crossref). CSV downloaded 12 September 2026; yearly counts computed by PeerReviewAI from the RetractionDate field, records with RetractionNature = Retraction. gitlab.com/crossref/retraction-watch-datadatabase download (reproducible; CSV on file) · verified 2026-09-12
- [4]Walters WH, Wilder EI. Fabrication and errors in the bibliographic citations generated by ChatGPT. Scientific reports 2023. doi:10.1038/s41598-023-41032-5 PMID 37679503.peer-reviewed article (Europe PMC / Crossref record) · verified 2026-09-12
- [5]Jergas H, Baethge C. Quotation accuracy in medical journal articles-a systematic review and meta-analysis. PeerJ 2015. doi:10.7717/peerj.1364 PMID 26528420.peer-reviewed article (Europe PMC / Crossref record) · verified 2026-09-12
- [6]Calcagno V et al. Flows of research manuscripts among scientific journals reveal hidden submission patterns. Science (New York, N.Y.) 2012. doi:10.1126/science.1227833 PMID 23065906.peer-reviewed article (Europe PMC / Crossref record) · verified 2026-09-12