विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| मेटा-विश्लेषणात्मक यादृच्छिक नैदानिक परीक्षण× | व्यक्तिगत रोगी डेटा मेटा-विश्लेषण× | |
|---|---|---|
| क्षेत्र≠ | महामारी विज्ञान | साक्ष्य संश्लेषण |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1976 (Glass coinage of meta-analysis); 1993 (Cochrane Collaboration formalization) | 1990s |
| प्रवर्तक≠ | Gene V. Glass (meta-analysis method); Cochrane Collaboration (systematic RCT pooling standards) | Cochrane Collaboration, Pioneered by Stewart & Clarke |
| प्रकार≠ | Quantitative evidence-synthesis design | Method |
| मौलिक स्रोत≠ | Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (Eds.). (2019). Cochrane Handbook for Systematic Reviews of Interventions (2nd ed.). Wiley-Blackwell. ISBN: 978-1119536628 | Stewart, L. A., Clarke, M. J., & Cochrane IPD Meta-analysis Methods Group. (2015). Practical methodology of meta-analyses (including IPD) of randomised trials reporting time to event data. Cochrane Database of Systematic Reviews, 2015(10), MR000027. link ↗ |
| उपनाम≠ | meta-analytic RCT, MA-RCT, meta-analysis of RCTs, pooled randomized trial analysis | IPD Meta-Analysis, Participant-Level Data Synthesis, One-Stage Meta-Analysis |
| संबंधित≠ | 3 | 1 |
| सारांश≠ | A meta-analytic randomized clinical trial is a formal evidence-synthesis method that identifies, appraises, and statistically combines the results of multiple randomized clinical trials addressing the same clinical question. By pooling trial-level data, it produces a single, more precise estimate of treatment effect and quantifies between-trial heterogeneity, sitting at the apex of the evidence hierarchy for evaluating healthcare interventions. | Individual patient data meta-analysis (IPD-MA) is a systematic synthesis method where researchers obtain and analyze raw data at the patient level from multiple randomized controlled trials, rather than relying on published summary statistics (aggregate data). Pioneered by the Cochrane Collaboration and formalized by Stewart, Clarke, and Riley, IPD-MA is considered the gold standard for evidence synthesis because it enables consistent outcome definition across trials, robust subgroup analysis, and detection of treatment-covariate interactions. Though time-intensive and resource-demanding, IPD-MA provides the most reliable estimates of intervention effects and is preferred for critical clinical decisions, particularly for identifying which patients benefit most from treatment. |
| ScholarGateडेटासेट ↗ |
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