PRISMA 2020 Compliance
Transparent systematic review reporting with AI-assisted screening
What is PRISMA 2020?
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement provides an evidence-based minimum set of items for reporting in systematic reviews.
- 27-item checklist for transparent reporting
- Flow diagram for study selection process
- Evidence-based reporting guidelines
- International standard for systematic reviews
PRISMA 2020 Compliance
The I-category pipeline implements PRISMA 2020 guidelines throughout the entire systematic review pipeline, ensuring methodological rigor and transparent reporting.
1. Identification
Records identified from databases and registers
- ▸Records from databases (Semantic Scholar, OpenAlex, arXiv): n = X
- ▸Records from other sources (manual search, citations): n = X
- ▸Total records before deduplication: n = X
Automatic API-based retrieval with metadata logging
2. Screening
Duplicates removed, records screened for relevance
- ▸Duplicates removed (by DOI, arXiv ID, title similarity): n = X
- ▸Records screened using AI-assisted criteria: n = X
- ▸Records excluded with documented reasons: n = X
AI-PRISMA 6-Dimension screening with human verification
3. Eligibility
Full-text articles assessed for eligibility
- ▸Reports sought for retrieval: n = X
- ▸Reports not retrieved (no PDF available): n = X
- ▸Reports assessed for eligibility: n = X
- ▸Reports excluded with reasons: n = X
Automated PDF download with retry logic and error tracking
4. Inclusion
Studies included in final synthesis
- ▸Studies included in systematic review: n = X
- ▸Reports of included studies: n = X
- ▸Studies available for RAG query system: n = X
Vector database construction with full-text indexing
AI-PRISMA 6-Dimension Screening
The pipeline uses a 6-dimensional relevance scoring system for systematic screening, combining AI efficiency with human oversight.
1. Population Relevance
Does the study focus on the target population?
Binary (Yes/No) or Likert scale (1-5)2. Intervention/Exposure Match
Does the intervention or exposure align with inclusion criteria?
Binary or Likert with keyword matching3. Outcome Alignment
Are the measured outcomes relevant to research question?
Binary or Likert with outcome validation4. Study Design Fit
Does the study design meet methodological requirements?
Categorical (RCT, quasi-experimental, observational, etc.)5. Time Period Compliance
Is the publication date within the specified range?
Binary (within/outside date range)6. Language/Access Criteria
Is the study in acceptable language with available full text?
Binary (accessible/not accessible)Knowledge Repository Mode
50% relevance threshold (inclusive for broad coverage)
Systematic Review Mode
90% relevance threshold (strict for evidence synthesis)
PRISMA Flow Diagram Generation
The pipeline automatically generates PRISMA 2020-compliant flow diagrams from your screening data.
- Automatic generation from `screening_results.csv`
- Exportable formats: PNG, SVG, PDF
- Customizable labels and colors
- Includes exclusion reasons with counts
- Version control with timestamps
python scripts/07_generate_prisma.py --project projects/2025-01-15_MyProjectPRISMA 2020 Checklist Coverage
The pipeline addresses key PRISMA checklist items through automated workflows:
Eligibility criteria
Defined in config.yaml, enforced in screening
Information sources
Documented in database_strategy.md
Search strategy
Boolean queries logged in query_log.json
Selection process
AI-PRISMA 6-D screening with audit trail
Risk of bias
Optional integration with Agent B2 (Evidence Quality Appraiser)
Results of syntheses
RAG query system with citation tracking
Flow diagram
Auto-generated PRISMA 2020 diagram