Literature DB >> 10580787

Discrepant analysis: a biased and an unscientific method for estimating test sensitivity and specificity.

A Hadgu1.   

Abstract

Discrepant analysis is a widely used technique for estimating test performance indices (sensitivity, specificity, etc.) of DNA-amplification tests for detecting infectious diseases. It has recently been claimed that the discrepant analysis-based estimates of specificity are typically less biased than those based on culture and that the discrepant analysis-based specificity shows little appreciable bias. In this article, I show that those conclusions are incorrect. Using a typical example from the published literature, I show that the discrepant analysis-based estimates of sensitivity and specificity can generate a significant and clinically important overestimation of the true sensitivity and specificity values. Moreover, I demonstrate that the concept of discrepant analysis is profoundly flawed and unscientific. It violates a fundamental principle of diagnostic testing-the principle that the new test should not be used to determine the true disease status. Thus, the major problem with discrepant analysis is not only that it is biased but that it is unscientific. Therefore, discrepant analysis should not be adopted for the evaluation of any diagnostic or screening test.

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Year:  1999        PMID: 10580787     DOI: 10.1016/s0895-4356(99)00101-8

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  24 in total

1.  Discrepant analysis is still at large.

Authors:  M Sternberg
Journal:  J Clin Microbiol       Date:  2001-02       Impact factor: 5.948

2.  Discrepant analysis: how can we test a test?

Authors:  A J McAdam
Journal:  J Clin Microbiol       Date:  2000-06       Impact factor: 5.948

3.  Discrepant analysis is an inappropriate and unscientific method.

Authors:  A Hadgu
Journal:  J Clin Microbiol       Date:  2000-11       Impact factor: 5.948

4.  Confirmation by 16S rRNA PCR of the COBAS AMPLICOR CT/NG test for diagnosis of Neisseria gonorrhoeae infection in a low-prevalence population.

Authors:  David J Diemert; Michael D Libman; Pierre Lebel
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

5.  Quantitative PCR assay using sputum samples for rapid diagnosis of pneumococcal pneumonia in adult emergency department patients.

Authors:  Samuel Yang; Shin Lin; Ambreen Khalil; Charlotte Gaydos; Eric Nuemberger; George Juan; Justin Hardick; John G Bartlett; Paul G Auwaerter; Richard E Rothman
Journal:  J Clin Microbiol       Date:  2005-07       Impact factor: 5.948

Review 6.  Current evidence on diagnostic accuracy of commercially based nucleic acid amplification tests for the diagnosis of pulmonary tuberculosis.

Authors:  S Greco; E Girardi; A Navarra; C Saltini
Journal:  Thorax       Date:  2006-05-31       Impact factor: 9.139

7.  Diagnostic accuracy of in-house PCR for pulmonary tuberculosis in smear-positive patients: meta-analysis and metaregression.

Authors:  S Greco; M Rulli; E Girardi; C Piersimoni; C Saltini
Journal:  J Clin Microbiol       Date:  2009-01-14       Impact factor: 5.948

8.  Evaluation of nucleic acid amplification tests as reference tests for Chlamydia trachomatis infections in asymptomatic men.

Authors:  R E Johnson; T A Green; J Schachter; R B Jones; E W Hook; C M Black; D H Martin; M E St Louis; W E Stamm
Journal:  J Clin Microbiol       Date:  2000-12       Impact factor: 5.948

Review 9.  Diagnosis and assessment of trachoma.

Authors:  Anthony W Solomon; Rosanna W Peeling; Allen Foster; David C W Mabey
Journal:  Clin Microbiol Rev       Date:  2004-10       Impact factor: 26.132

10.  Controlled evaluation of the IDI-MRSA assay for detection of colonization by methicillin-resistant Staphylococcus aureus in diverse mucocutaneous specimens.

Authors:  Nour de San; Olivier Denis; Marie-Fabrice Gasasira; Ricardo De Mendonça; Claire Nonhoff; Marc J Struelens
Journal:  J Clin Microbiol       Date:  2007-02-07       Impact factor: 5.948

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