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The realistic performance achievable with mycobacterial automated culture systems in high and low prevalence settings

机译:使用分枝杆菌自动培养系统在高和低流行率环境中可获得的逼真的性能

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摘要

BackgroundDiagnostic tests are generally used in situations with similar pre-test probability of disease to where they were developed. When these tests are applied in situations with very different pre-test probabilities of disease, it is informative to model the likely implications of known characteristics of test performance in the new situation. This is the case for automated Mycobacterium tuberculosis (MTB) liquid culture systems for tuberculosis case detection which were developed and are widely used in low burden settings but are only beginning to be applied on a large scale in high burden settings.
机译:背景诊断测试通常用于与疾病发生前具有相似的疾病检测前可能性的情况。当将这些测试应用于疾病的预测试概率非常不同的情况时,对在新情况下测试性能的已知特征可能产生的影响进行建模很有帮助。开发用于结核病病例检测的自动化结核分枝杆菌(MTB)液体培养系统就是这种情况,该系统已在低负荷环境中广泛使用,但只是开始在高负荷环境中大规模应用。

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