Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Исследование IV фазы× | Поперечное эпидемиологическое исследование× | |
|---|---|---|
| Область | Эпидемиология | Эпидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Formalised 1970s–1990s (ICH E3 guideline 1994) | 1960s (formal codification); widely practiced since mid-20th century |
| Автор метода≠ | Regulatory agencies and pharmaceutical industry (ICH, FDA, EMA frameworks) | Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s) |
| Тип≠ | Post-marketing observational or interventional study | Observational, descriptive/analytic epidemiological design |
| Основополагающий источник≠ | International Conference on Harmonisation (ICH). (1994). ICH Harmonised Tripartite Guideline: Structure and Content of Clinical Study Reports E3. ICH Secretariat. link ↗ | Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407 |
| Другие названия | post-marketing surveillance study, post-approval study, Phase 4 study, PMS study | prevalence study, cross-sectional survey, transversal study, cross-sectional design |
| Связанные≠ | 5 | 6 |
| Сводка≠ | A Phase IV study is a post-marketing surveillance study conducted after a drug, device, or intervention has received regulatory approval. Its primary purpose is to monitor long-term safety, detect rare adverse events, assess effectiveness in routine clinical practice, and explore new indications or populations not adequately represented in earlier trials. Phase IV evidence accumulates continuously throughout a product's commercial life. | A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes. |
| ScholarGateНабор данных ↗ |
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