Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Revisió ràpida basada en meta-regressió× | Revisió exploratòria× | |
|---|---|---|
| Camp | Cienciometria | Cienciometria |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 2000s–2010s (convergence of rapid review and meta-regression) | 2005 |
| Autor original≠ | Meta-regression: Simon Thompson & Stephen Sharp (1999); Rapid review methodology: Cochrane, WHO, and health technology assessment bodies (2000s onward) | Hilary Arksey & Lisa O'Malley |
| Tipus≠ | Quantitative evidence synthesis variant | Evidence synthesis review design |
| Font seminal≠ | Thompson, S. G., & Sharp, S. J. (1999). Explaining heterogeneity in meta-analysis: A comparison of methods. Statistics in Medicine, 18(20), 2693–2708. DOI ↗ | Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. DOI ↗ |
| Àlies | rapid review with meta-regression, accelerated meta-regression review, rapid synthesis with meta-regression, RRMR | scoping study, literature scoping, evidence mapping review, rapid evidence map |
| Relacionats≠ | 5 | 6 |
| Resum≠ | A meta-regression-based rapid review is an accelerated evidence synthesis that combines the time-efficient protocols of a rapid review with meta-regression analysis to identify which study-level or population-level characteristics explain variability in effect sizes across included studies. By streamlining search and screening steps without sacrificing the explanatory power of regression modeling, this approach delivers actionable heterogeneity insights under decision-making time constraints. | A scoping review is a systematic evidence-synthesis method that maps the breadth and nature of research on a topic — identifying key concepts, evidence types, and gaps — without necessarily appraising study quality or pooling effect sizes. Developed by Arksey and O'Malley (2005) and refined by Levac and colleagues (2010), it is particularly valuable for emerging or heterogeneous fields where a full systematic review would be premature or infeasible. |
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