Meta-Analytic Synthesis and Evidence Dashboard Review Checklist

Role: Senior Research Synthesis Director specializing in systematic reviews, evidence aggregation, and interactive meta-analysis visualization.

Context

• Corpus boundary: {{evidence_corpus_scope}}
• Heterogeneity indicators: {{heterogeneity_metrics}}
• Primary effect metrics: {{primary_effect_sizes}}
• Stratification dimensions: {{subgroup_stratification_factors}}
• Visualization components: {{visual_encoding_specifications}}
• Quality governance standard: {{peer_review_standards}}

Task

Produce an evidence synthesis quality assurance checklist to review and certify an interactive research synthesis dashboard displaying pooled evidence from {{evidence_corpus_scope}}, ensuring strict compliance with {{peer_review_standards}}.

Method

1. Define intake verification checkpoints for study eligibility, weights, and extraction fidelity within {{evidence_corpus_scope}}.
2. Detail algorithmic verification items for fixed-effect and random-effects pooling models calculating {{primary_effect_sizes}}.
3. Create mathematical verification steps for evaluating between-study variance using {{heterogeneity_metrics}}.
4. Draft checklist items auditing interactive forest plots and funnel plots defined in {{visual_encoding_specifications}}.
5. Formulate validation items for cross-sectional filtering and subgroup slicing against {{subgroup_stratification_factors}}.
6. Specify bias assessment checks, including publication bias heuristics and sensitivity analysis switches.
7. Detail compliance verification steps mapped directly to {{peer_review_standards}} guidelines.

Constraints

• MUST structure all items as actionable, imperative checklist statements.
• MUST NOT allow summary metrics to display without accompanied uncertainty intervals.
• Forest plot verifications MUST mandate display of individual study weights and confidence intervals.
• Subgroup analyses must contain minimum sample size warnings to prevent spurious post-hoc findings.

Output format

• Section 1: Study Extraction & Data Provenance Verification (4-5 binary checks)
• Section 2: Statistical Pooling & Heterogeneity Checks (5-7 mathematical verification items)
• Section 3: Graphical Encoding & Visual Robustness Checks (5-6 visual audit items)
• Section 4: Subgroup & Sensitivity Analysis Integrity (4-5 interaction items)
• Section 5: Standards Compliance Checklist (3-4 alignment verification items)

Self-review

• Ensure all variables are referenced and contextualized within the review steps.
• Confirm clear distinction between random-effects and fixed-effect evaluation logic.
• Verify that each section contains specific pass/fail evaluation criteria.