prisma2020-flow-diagram
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.
Datos de origen
- Repositorio
- Insightpulseai/odoo
- Última actividad en el origen
- 17 de abril de 2026 a las 17:39
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 6
- Forks
- 2
Opciones de instalación
De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.
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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- 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
```r
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
```r
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.
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