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| Prospective Case Series× | Prospektív kohorszvizsgálat× | |
|---|---|---|
| Tudományterület | Epidemiológia | Epidemiológia |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | Late 19th century onward; formalized in modern clinical epidemiology by the 1970s–1980s | 1950s (systematic application); conceptual roots earlier |
| Megalkotó≠ | Evolved from clinical case reporting traditions in 19th–20th century medicine | Richard Doll and Austin Bradford Hill (landmark application, 1951-1954); cohort methodology formalised by modern epidemiology textbooks |
| Típus≠ | Observational study design | Observational longitudinal study design |
| Alapmű≠ | Meinert, C. L. (1996). Clinical Trials: Design, Conduct, and Analysis. Oxford University Press. ISBN: 978-0195035681 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Alternatív nevek | prospective case series study, forward-looking case series, prospective uncontrolled study, prospective observational case series | longitudinal cohort study, prospective follow-up study, incidence study, prospective observational cohort |
| Kapcsolódó≠ | 5 | 6 |
| Összefoglaló≠ | A prospective case series is an observational study design in which a group of patients with a particular condition, exposure, or intervention is identified in advance and followed forward in time according to a pre-specified protocol. Data on outcomes, adverse events, and clinical course are collected as they occur, yielding higher data quality and temporal clarity than retrospective designs. No control group is included, so causal inference is limited, but the design is valuable for characterizing natural disease history, early safety signals, and feasibility of new interventions. | A prospective cohort study assembles a group of participants who are free of the outcome of interest at baseline, measures their exposures, and then follows them forward in time to record who develops the outcome. By collecting exposure data before outcomes occur, it establishes a clear temporal sequence that supports causal inference — a major advantage over retrospective designs. It is the cornerstone observational method in epidemiology and clinical research. |
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