// Design structured data extraction form for systematic meta-analysis data collection
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment
| name | data-extraction-form |
| description | Design structured data extraction form for systematic meta-analysis data collection |
| execution | subagent |
| prompt | ./prompt.md |
| input | pico_framework, effect_size_type, moderator_variables |
| used-by | meta-analysis |
Design a structured, comprehensive data extraction form tailored to the specific meta-analysis, ensuring all necessary data points are captured systematically.
pico_framework: The structured PICO/PECO frameworkeffect_size_type: The chosen effect size metric and calculation methodsmoderator_variables: Pre-specified moderator variables for heterogeneity investigationA complete data extraction form with field definitions, coding instructions, and examples for each variable.