| name | prisma2020-flow-diagram |
| domain | research |
| version | 1.0.0 |
| license | MIT |
| language | R |
| description | PRISMA 2020-compliant flow diagrams via the PRISMA2020 R package (Haddaway et al., 2022). Interactive HTML + static PDF/PNG/SVG. Supports two-arm (new searches) and three-arm (Previous + Other methods) layouts. |
| triggers | ["PRISMA","PRISMA 2020","flow diagram","flowchart systematic review","study selection diagram","PRISMA_flowdiagram","screening flowchart","records identified","records excluded","full-text assessed"] |
| sources | ["https://github.com/prisma-flowdiagram/PRISMA2020","https://estech.shinyapps.io/prisma_flowdiagram/"] |
| citation | Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022).
PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams.
Campbell Systematic Reviews, 18, e1230. https://doi.org/10.1002/cl2.1230
|
PRISMA 2020 Flow Diagram
When to use
Invoke when the user asks for a PRISMA flow diagram, study-selection flowchart,
or screening flowchart for a systematic review / meta-analysis, or when the
companion skill doing-meta-analysis-r needs a reporting figure.
Required R packages
install.packages(c("PRISMA2020", "DiagrammeR", "DiagrammeRsvg", "rsvg"))
Input contract (CSV)
Required columns (PRISMA 2020 two-arm layout):
previous_studies, previous_reports, register_results, database_results,
website_results, organisation_results, citation_results,
duplicates_removed, excluded_automation, excluded_other,
records_screened, records_excluded,
reports_sought_retrieval, reports_not_retrieved,
reports_assessed, reports_excluded_reason1, reports_excluded_reason2, reports_excluded_reason3,
new_studies, new_reports, total_studies, total_reports
Three-arm (Previous + New + Other methods) adds the other_* column family.
Canonical pipeline
library(PRISMA2020)
data <- read.csv("prisma_counts.csv")
plot <- PRISMA_flowdiagram(
data,
interactive = FALSE,
previous = TRUE,
other = FALSE,
fontsize = 12,
font = "Helvetica",
title = NA
)
PRISMA_save(plot, filename = "prisma_flow.pdf", filetype = "PDF")
IPAI integration
- Primary use case: PrismaLab R&D systematic reviews, JBLMGH Neurology
submissions — CAVE score PSE, toxoplasmosis, HIV-TB co-infection manuscripts.
- Artifact storage: register counts in
ops.artifacts with type='prisma_counts';
upload PDF to Azure Blob stipaidevlake/research/<study_id>/figures/prisma_flow.pdf.
- Companion skills:
doing-meta-analysis-r (pooling + diagnostics),
meta-analysis-pipeline (orchestration).
Safety
- Never fabricate counts. Require an explicit CSV from the user or from
upstream search-results extraction.
- Row totals must reconcile (identified = screened + duplicates_removed).
Flag mismatches — do not silently correct.
