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前瞻性筛查试验评估×横断面流行病学研究×
领域流行病学流行病学
方法族Process / pipelineProcess / pipeline
起源年份1980s–2000s (STARD 2003, updated 2015)1960s (formal codification); widely practiced since mid-20th century
提出者Formalized through diagnostic accuracy methodology (Sackett, Haynes, Tugwell; STARD initiative)Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s)
类型Prospective observational study designObservational, descriptive/analytic epidemiological design
开创性文献Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., et al. (2015). STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies. BMJ, 351, h5527. DOI ↗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
别名prospective diagnostic accuracy study, prospective test performance study, forward-looking screening validation, prospective DTA studyprevalence study, cross-sectional survey, transversal study, cross-sectional design
相关66
摘要A prospective screening test evaluation enrolls participants before the outcome is known, applies the screening test and the reference standard in temporal sequence, and measures how accurately the test identifies individuals with or without the target condition. This forward-looking design minimizes workup bias and spectrum bias, producing estimates of sensitivity, specificity, and predictive values that are more generalizable to real clinical or public-health screening contexts than retrospective alternatives.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.
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  3. PUBLISHED

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ScholarGate方法对比: Prospective Screening Test Evaluation · Cross-sectional epidemiological study. 于 2026-06-18 检索自 https://scholargate.app/zh/compare