Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| GRADE Evidence Profiling× | PRISMA Checklist: Стандарты отчетности систематических обзоров и мета-анализов× | |
|---|---|---|
| Область | Методология исследований | Методология исследований |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2008 | 2021 (original 2009) |
| Автор метода≠ | Guyatt et al. (GRADE Working Group) | Page et al. (PRISMA Group) |
| Тип≠ | Research team / Guideline panel assessment | Systematic review author reporting checklist |
| Основополагающий источник≠ | Guyatt, G., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008). GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ, 336(7650), 924–926. DOI ↗ | Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. DOI ↗ |
| Другие названия | GRADE, GRADE approach | PRISMA, PRISMA 2020 |
| Связанные | 4 | 4 |
| Сводка≠ | GRADE (Grading of Recommendations Assessment, Development and Evaluation) is a systematic, transparent framework for assessing the certainty of evidence and determining the strength of clinical recommendations in healthcare. Published in 2008 by Guyatt et al., GRADE has become the international standard for guideline development, used by the World Health Organization, Cochrane, and most major clinical guideline organizations worldwide. | PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is a 27-item evidence-based checklist published in 2021 (updated from 2009) to standardize reporting of systematic reviews and meta-analyses. Endorsed by over 500 journals, PRISMA is the international standard for evidence synthesis reporting, used across healthcare, psychology, education, and social sciences to ensure transparency and reproducibility. |
| ScholarGateНабор данных ↗ |
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