Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Метааналитическое рандомизированное клиническое исследование× | Сетевой метаанализ× | |
|---|---|---|
| Область≠ | Эпидемиология | Синтез доказательств |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1976 (Glass coinage of meta-analysis); 1993 (Cochrane Collaboration formalization) | 2002 |
| Автор метода≠ | Gene V. Glass (meta-analysis method); Cochrane Collaboration (systematic RCT pooling standards) | Lumley (2002) |
| Тип≠ | Quantitative evidence-synthesis design | Method |
| Основополагающий источник≠ | 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 | Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗ |
| Другие названия≠ | meta-analytic RCT, MA-RCT, meta-analysis of RCTs, pooled randomized trial analysis | Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis |
| Связанные≠ | 3 | 1 |
| Сводка≠ | 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. | Network meta-analysis (NMA) is a systematic method for comparing multiple interventions simultaneously within a single analytical framework, incorporating both direct evidence (head-to-head trials) and indirect evidence (comparisons via common comparators). First formalized by Lumley in 2002, NMA allows researchers to rank treatments and quantify comparative effectiveness even when some treatment pairs have never been directly studied. |
| ScholarGateНабор данных ↗ |
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