পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Phase IV মেটা-অ্যানালিটিক স্টাডি× | কোহর্ট স্টাডি× | |
|---|---|---|
| ক্ষেত্র | মহামারীবিদ্যা | মহামারীবিদ্যা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1990s–2000s (formalised as regulatory requirement context grew) | Mid-20th century (formal epidemiological design codified ~1950s) |
| প্রবর্তক≠ | Developed through the convergence of meta-analytic methods (Glass, 1976; Hedges & Olkin, 1985) and post-marketing pharmacoepidemiology frameworks | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| ধরন≠ | Evidence synthesis applied to post-marketing observational and trial data | Observational longitudinal study design |
| মৌলিক উৎস≠ | Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for Meta-Analysis in Medical Research. Wiley. ISBN: 978-0471490661 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| অপর নাম | Phase IV meta-analysis, post-marketing meta-analysis, pharmacoepidemiologic meta-analysis, post-approval systematic review and meta-analysis | longitudinal study, follow-up study, panel study, incidence study |
| সম্পর্কিত≠ | 3 | 6 |
| সারসংক্ষেপ≠ | A meta-analytic Phase IV study pools and quantitatively synthesises data from multiple Phase IV (post-marketing) sources — including observational cohorts, registries, spontaneous adverse-event databases, and post-approval randomised trials — to produce a single, more precise estimate of a drug or device's real-world effectiveness, safety, or utilisation pattern. By applying meta-analytic weighting to heterogeneous post-marketing evidence, it bridges the gap between tightly controlled pre-approval trials and the complexity of routine clinical practice. | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. |
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