方法对比
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| 基于注册的研究× | Pragmatic Clinical Trial× | |
|---|---|---|
| 领域 | 临床研究 | 临床研究 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2000s-present | 2009-2015 |
| 提出者≠ | Patient registries began mid-20th century; modern registry research formalized 2000s–2010s | Thorpe et al. (2009); PRECIS framework developed by international consortia |
| 类型 | Research Design | Research Design |
| 开创性文献≠ | Gini, R., Francesconi, P., Mazzaglia, G., Brignoli, G., Cricelli, C., Lapi, F., & Cricelli, A. (2020). Chronic disease prevalence from Italian administrative databases: the PREVALENTIST study. BMC Public Health, 13, 191. link ↗ | Thorpe, K. E., Zwarenstein, M., Oxman, A. D., Treweek, S., Furberg, C. D., Altman, D. G., ... & Tugwell, P. (2009). A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers. CMAJ, 180(10), E47–E57. DOI ↗ |
| 别名 | registry research, registry study, disease registry, registry-based cohort | pragmatic trial, real-world trial, effectiveness trial, PRECIS-2 |
| 相关≠ | 3 | 4 |
| 摘要≠ | Registry-based research uses systematically collected clinical data from patient registries—organized databases of patients with a specific disease or condition—to conduct observational studies. Registries began in the mid-20th century but have proliferated since the 2000s as electronic health records expanded and funding agencies recognized their value for real-world evidence generation. Registry studies provide large, diverse, representative populations without the cost of recruiting and following prospectively, enabling rapid generation of clinical evidence. | A pragmatic trial is designed to evaluate the real-world effectiveness of an intervention in typical clinical settings with diverse, representative patients, minimal exclusion criteria, and clinically relevant outcomes. Developed by Thorpe and colleagues (2009) and formalized via the PRECIS-2 framework (2015), pragmatic trials bridge the gap between explanatory efficacy trials (conducted in controlled research settings) and implementation science, answering the question 'Does this work in actual clinical practice?' rather than 'Can this work under ideal conditions?' |
| ScholarGate数据集 ↗ |
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