通过与非金标准试验结果的比较，确定一种新的诊断试验的敏感性和特异性。

IF 3.8 3区医学 Q1 MEDICAL LABORATORY TECHNOLOGY

Biochemia Medica Pub Date : 2023-02-15 DOI:10.11613/BM.2023.010101

Farrokh Habibzadeh

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引用次数: 0

摘要

诊断测试是重要的临床工具。为了评估一项新检测的敏感性和特异性，应将其结果与金标准进行比较。然而，金标准测试并不总是可用的。在这里，我展示了我们可以将新测试与一个完善的诊断测试(不是金标准测试，但具有已知的灵敏度和特异性)进行比较，并计算新测试的灵敏度和特异性，如果我们将其与金标准测试进行比较的话。所提出的技术对于金标准不容易获得的情况很有用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

On determining the sensitivity and specificity of a new diagnostic test through comparing its results against a non-gold-standard test.

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On determining the sensitivity and specificity of a new diagnostic test through comparing its results against a non-gold-standard test.

Diagnostic tests are important clinical tools. To assess the sensitivity and specificity of a new test, its results should be compared against a gold standard. However, the gold-standard test is not always available. Herein, I show that we can compare the new test against a well-established diagnostic test (not a gold-standard test, but with known sensitivity and specificity) and compute the sensitivity and specificity of the new test if we would have compared it against the gold-standard test. The technique presented is useful for situations where the gold standard is not readily available.

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来源期刊

Biochemia Medica 医学-医学实验技术

CiteScore

5.50

自引率

3.00%

发文量

审稿时长

>12 weeks

期刊介绍： Biochemia Medica is the official peer-reviewed journal of the Croatian Society of Medical Biochemistry and Laboratory Medicine. Journal provides a wide coverage of research in all aspects of clinical chemistry and laboratory medicine. Following categories fit into the scope of the Journal: general clinical chemistry, haematology and haemostasis, molecular diagnostics and endocrinology. Development, validation and verification of analytical techniques and methods applicable to clinical chemistry and laboratory medicine are welcome as well as studies dealing with laboratory organization, automation and quality control. Journal publishes on a regular basis educative preanalytical case reports (Preanalytical mysteries), articles dealing with applied biostatistics (Lessons in biostatistics) and research integrity (Research integrity corner).