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quality-assessment-protocol
Methodological quality and bias risk assessment of included studies using validated tools
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Methodological quality and bias risk assessment of included studies using validated tools
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| name | quality-assessment-protocol |
| description | Methodological quality and bias risk assessment of included studies using validated tools |
| execution | tactic |
| used-by | meta-analysis |
Systematically assess methodological quality and risk of bias for each included study using domain-appropriate validated tools.
Select the appropriate quality assessment tool based on study design.
| Study Design | Tool | Domains |
|---|---|---|
| RCT | RoB 2.0 | Randomization, deviations, missing data, measurement, selection |
| Non-randomized interventions | ROBINS-I | Confounding, selection, classification, deviations, missing, measurement, reporting |
| Diagnostic accuracy | QUADAS-2 | Patient selection, index test, reference standard, flow/timing |
| Prediction models | PROBAST | Participants, predictors, outcome, analysis |
| Observational | Newcastle-Ottawa | Selection, comparability, outcome/exposure |
Decision: Match tool to study design. Use one tool consistently within a meta-analysis.
Apply the selected tool to each included study.
SOPs: risk-of-bias-assessment
Plan the summary presentation of quality assessments.
SOPs: sensitivity-analysis-design
Per execution of this tactic:
quality_assessment:
tool_used: [RoB2/ROBINS-I/QUADAS-2/PROBAST/NOS]
assessments:
- study_id: [identifier]
domains:
- domain: [name]
judgment: [Low/Some Concerns/High]
rationale: [supporting text]
overall: [Low/Some Concerns/High]
summary:
low_risk_count: [N]
some_concerns_count: [N]
high_risk_count: [N]
problematic_domains: [most common high-risk domains]
sensitivity_groups:
low_risk_only: [study list]
excluding_high_risk: [study list]