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Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods

BACKGROUND: Staquet et al. and Brenner both developed correction methods to estimate the sensitivity and specificity of a binary-response index test when the reference standard is imperfect and its sensitivity and specificity are known. However, to our knowledge, no study has compared the statistica...

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Autores principales: Umemneku Chikere, Chinyereugo M., Wilson, Kevin J., Allen, A. Joy, Vale, Luke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040223/
https://www.ncbi.nlm.nih.gov/pubmed/33845775
http://dx.doi.org/10.1186/s12874-021-01255-4
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author Umemneku Chikere, Chinyereugo M.
Wilson, Kevin J.
Allen, A. Joy
Vale, Luke
author_facet Umemneku Chikere, Chinyereugo M.
Wilson, Kevin J.
Allen, A. Joy
Vale, Luke
author_sort Umemneku Chikere, Chinyereugo M.
collection PubMed
description BACKGROUND: Staquet et al. and Brenner both developed correction methods to estimate the sensitivity and specificity of a binary-response index test when the reference standard is imperfect and its sensitivity and specificity are known. However, to our knowledge, no study has compared the statistical properties of these methods, despite their long application in diagnostic accuracy studies. AIM: To compare the correction methods developed by Staquet et al. and Brenner. METHODS: Simulations techniques were employed to compare the methods under assumptions that the new test and the reference standard are conditionally independent or dependent given the true disease status of an individual. Three clinical datasets were analysed to understand the impact of using each method to inform clinical decision-making. RESULTS: Under the assumption of conditional independence, the Staquet et al. correction method outperforms the Brenner correction method irrespective of the prevalence of disease and whether the performance of the reference standard is better or worse than the index test. However, when the prevalence of the disease is high (> 0.9) or low (< 0.1), the Staquet et al. correction method can produce illogical results (i.e. results outside [0,1]). Under the assumption of conditional dependence; both methods failed to estimate the sensitivity and specificity of the index test especially when the covariance terms between the index test and the reference standard is not close to zero. CONCLUSION: When the new test and the imperfect reference standard are conditionally independent, and the sensitivity and specificity of the imperfect reference standard are known, the Staquet et al. correction method outperforms the Brenner method. However, where the prevalence of the target condition is very high or low or the two tests are conditionally dependent, other statistical methods such as latent class approaches should be considered. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01255-4.
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spelling pubmed-80402232021-04-12 Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods Umemneku Chikere, Chinyereugo M. Wilson, Kevin J. Allen, A. Joy Vale, Luke BMC Med Res Methodol Research Article BACKGROUND: Staquet et al. and Brenner both developed correction methods to estimate the sensitivity and specificity of a binary-response index test when the reference standard is imperfect and its sensitivity and specificity are known. However, to our knowledge, no study has compared the statistical properties of these methods, despite their long application in diagnostic accuracy studies. AIM: To compare the correction methods developed by Staquet et al. and Brenner. METHODS: Simulations techniques were employed to compare the methods under assumptions that the new test and the reference standard are conditionally independent or dependent given the true disease status of an individual. Three clinical datasets were analysed to understand the impact of using each method to inform clinical decision-making. RESULTS: Under the assumption of conditional independence, the Staquet et al. correction method outperforms the Brenner correction method irrespective of the prevalence of disease and whether the performance of the reference standard is better or worse than the index test. However, when the prevalence of the disease is high (> 0.9) or low (< 0.1), the Staquet et al. correction method can produce illogical results (i.e. results outside [0,1]). Under the assumption of conditional dependence; both methods failed to estimate the sensitivity and specificity of the index test especially when the covariance terms between the index test and the reference standard is not close to zero. CONCLUSION: When the new test and the imperfect reference standard are conditionally independent, and the sensitivity and specificity of the imperfect reference standard are known, the Staquet et al. correction method outperforms the Brenner method. However, where the prevalence of the target condition is very high or low or the two tests are conditionally dependent, other statistical methods such as latent class approaches should be considered. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01255-4. BioMed Central 2021-04-12 /pmc/articles/PMC8040223/ /pubmed/33845775 http://dx.doi.org/10.1186/s12874-021-01255-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Umemneku Chikere, Chinyereugo M.
Wilson, Kevin J.
Allen, A. Joy
Vale, Luke
Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods
title Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods
title_full Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods
title_fullStr Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods
title_full_unstemmed Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods
title_short Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods
title_sort comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040223/
https://www.ncbi.nlm.nih.gov/pubmed/33845775
http://dx.doi.org/10.1186/s12874-021-01255-4
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