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| Abgeglichene Phase-IV-Studie× | Kohortenstudie× | |
|---|---|---|
| Fachgebiet | Epidemiologie | Epidemiologie |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1980s–1990s (formalized in post-marketing regulatory frameworks) | Mid-20th century (formal epidemiological design codified ~1950s) |
| Urheber≠ | Regulatory tradition (FDA, EMA); matching methodology from Rosenbaum & Rubin (1983) | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Typ≠ | Observational study design | Observational longitudinal study design |
| Wegweisende Quelle≠ | Strom, B. L., & Kimmel, S. E. (Eds.). (2005). Textbook of Pharmacoepidemiology. Wiley. ISBN: 978-0470029244 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Aliasnamen | matched post-marketing surveillance study, Phase IV matched cohort study, matched pharmacoepidemiological study, post-authorization matched safety study | longitudinal study, follow-up study, panel study, incidence study |
| Verwandt≠ | 5 | 6 |
| Zusammenfassung≠ | A Matched Phase IV study is a post-marketing observational design in which patients who received an approved drug (or intervention) are matched to comparable non-exposed patients — or patients on an alternative therapy — to evaluate real-world safety, effectiveness, or long-term outcomes. Conducted after regulatory approval, it combines the epidemiological rigour of matching with the breadth of post-authorization pharmacovigilance, generating evidence that randomized trials are rarely powered or timed to provide. | 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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