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| Seria przypadków adaptacyjnych× | Prospektywna seria przypadków× | |
|---|---|---|
| Dziedzina | Epidemiologia | Epidemiologia |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | Late 20th–early 21st century | Late 19th century onward; formalized in modern clinical epidemiology by the 1970s–1980s |
| Twórca≠ | Evolved from classical case series methodology combined with adaptive design principles (Chow & Chang, 2008; FDA adaptive design guidance) | Evolved from clinical case reporting traditions in 19th–20th century medicine |
| Typ≠ | Observational study with adaptive monitoring | Observational study design |
| Źródło pierwotne≠ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887775 | Meinert, C. L. (1996). Clinical Trials: Design, Conduct, and Analysis. Oxford University Press. ISBN: 978-0195035681 |
| Inne nazwy≠ | adaptive case-series design, sequential adaptive case series, adaptive observational case series | prospective case series study, forward-looking case series, prospective uncontrolled study, prospective observational case series |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | An adaptive case series is an observational study design that documents a consecutive group of patients with a shared condition or exposure while incorporating pre-specified rules for modifying data collection, monitoring, or stopping criteria as accumulating evidence warrants. It combines the descriptive richness of traditional case series with the prospective flexibility of adaptive design principles, enabling structured mid-course adjustments without compromising the integrity of the recorded clinical observations. | 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. |
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