Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Studiu meta-analitic de acuratețe diagnostică× | Evaluarea testelor de screening× | |
|---|---|---|
| Domeniu | Epidemiologie | Epidemiologie |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1993–2005 (foundational models) | 1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s |
| Autorul original≠ | Moses, Shapiro & Littenberg (SROC framework, 1993); Reitsma et al. (bivariate model, 2005) | Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation |
| Tip≠ | Quantitative systematic synthesis | Observational diagnostic / epidemiological evaluation design |
| Sursa seminală≠ | Reitsma, J. B., Glas, A. S., Rutjes, A. W., Scholten, R. J., Bossuyt, P. M., & Zwinderman, A. H. (2005). Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. Journal of Clinical Epidemiology, 58(10), 982–990. DOI ↗ | Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34. link ↗ |
| Denumiri alternative | DTA meta-analysis, diagnostic meta-analysis, systematic review of diagnostic accuracy, pooled diagnostic accuracy | screening study, screening performance evaluation, screening accuracy assessment, STE |
| Înrudite≠ | 2 | 6 |
| Rezumat≠ | A meta-analytic diagnostic accuracy study systematically identifies and pools sensitivity and specificity data from multiple primary diagnostic test accuracy studies. Using the bivariate or hierarchical summary ROC (HSROC) model, it produces a joint summary of a test's ability to correctly classify diseased and non-diseased individuals across diverse clinical settings, accounting for the inherent trade-off between sensitivity and specificity. | Screening test evaluation is a systematic epidemiological approach for assessing whether a test or program can accurately and cost-effectively identify individuals with a condition before symptoms appear. It quantifies diagnostic performance metrics — sensitivity, specificity, predictive values, and the ROC curve — and evaluates whether a screening program meets established public health criteria for adoption and harm-benefit balance. |
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