Порівняння методів

	Метааналітична серія випадків	Серія випадків
Галузь	Епідеміологія	Епідеміологія
Родина	Process / pipeline	Process / pipeline
Рік появи	2000s–2010s (formalization of methodology)	Longstanding; systematized in 20th century clinical research
Автор методу	Developed iteratively in clinical epidemiology; methodological guidance formalized by Murad et al. and others in the 2000s–2010s	Historical clinical practice; formalized in modern evidence-based medicine literature
Тип	Evidence synthesis / meta-analytic method	Observational descriptive study
Основоположне джерело	Lovato, L. C., Hill, K., Hertert, S., Hunninghake, D. B., & Probstfield, J. L. (2002). Recruitment for controlled clinical trials: literature summary and annotated bibliography. Controlled Clinical Trials, 18(4), 328–352. [For meta-analytic approaches to non-randomised series see:] Murad, M. H., Sultan, S., Haffar, S., & Bazerbachi, F. (2018). Methodological quality and synthesis of case series and case reports. BMJ Evidence-Based Medicine, 23(2), 60–63.	Case series. Wikipedia.
Інші назви	pooled case series, systematic review of case series, case series meta-analysis, aggregated case series	case series report, clinical case series, consecutive case series, patient series
Пов'язані	1	5
Підсумок	A meta-analytic case series is an evidence-synthesis design that systematically identifies, appraises, and statistically pools outcome data from multiple single-arm case series on a defined clinical condition or intervention. It occupies a middle tier of evidence — above individual case reports and unsystematic series, but below pooled randomized trials — and is particularly valuable when experimental designs are ethically or practically unavailable.	A case series is a descriptive observational study that documents the characteristics, clinical course, and outcomes of a group of patients who share a common condition, exposure, or intervention. Unlike case reports, which focus on a single patient, a case series aggregates data across multiple patients (typically three or more) to identify patterns, generate hypotheses, and characterize rare or novel conditions — without a concurrent control group.