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Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard
Investigational diagnostic tests are validated by using a reference standard (RS). If the RS is imperfect (i.e., it has sensitivity [Se] and/or specificity [Sp] < 1), incorrect values for the investigational test’s Se and Sp may result because of patient misclassification by the RS. Formulas were...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818831/ https://www.ncbi.nlm.nih.gov/pubmed/36611381 http://dx.doi.org/10.3390/diagnostics13010090 |
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author | Sherwin, Paul F. |
author_facet | Sherwin, Paul F. |
author_sort | Sherwin, Paul F. |
collection | PubMed |
description | Investigational diagnostic tests are validated by using a reference standard (RS). If the RS is imperfect (i.e., it has sensitivity [Se] and/or specificity [Sp] < 1), incorrect values for the investigational test’s Se and Sp may result because of patient misclassification by the RS. Formulas were derived to correct a test’s Se and Sp that were determined by using an imperfect RS. The following derived formulas correct for misclassification and give the true numbers of disease-positive [n(DP)] and disease-negative patients [n(DN)] from the apparent number of disease-positive and disease-negative patients (an(DP) and an(DN)), and the Se and Sp of the RS (Se(R), Sp(R)): n(DP) = (an(DP) × Sp(R) + an(DN) × Sp(R) − an(DN))/J(R); n(DN) = (an(DP) × Se(R) + an(DN) × Se(R) − an(DP))/J(R), where J(R) is Youden’s Index for the RS (J(R) = Se(R) + Sp(R) − 1). The following derived formulas give the correct Se and Sp of an investigational test (Se(I) and Sp(I)): Se(I) = (an(TPI) × Sp(R) − n(DP) × Se(R) × Sp(R) + n(DP) × J(R) + n(DN) × Sp(R)(2) − n(DN) × Sp(R) − Sp(R) × an(TNI) + an(TNI))/(n(DP) × J(R)); Sp(I) = (an(TPI) − an(TPI) × Se(R) + n(DP) × Se(R)(2) − n(DP) × Se(R) − Se(R) × n(DN) × Sp(R) + n(DN) × J(R) + Se(R) × an(TNI))/(n(DN) × J(R)), where an(TPI) is the apparent number of true-positive test results, and an(TNI) is the apparent number of true-negative test results. The derived formulas correct for patient misclassification by an imperfect RS and give the correct values of a diagnostic test’s Se and Sp. |
format | Online Article Text |
id | pubmed-9818831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98188312023-01-07 Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard Sherwin, Paul F. Diagnostics (Basel) Article Investigational diagnostic tests are validated by using a reference standard (RS). If the RS is imperfect (i.e., it has sensitivity [Se] and/or specificity [Sp] < 1), incorrect values for the investigational test’s Se and Sp may result because of patient misclassification by the RS. Formulas were derived to correct a test’s Se and Sp that were determined by using an imperfect RS. The following derived formulas correct for misclassification and give the true numbers of disease-positive [n(DP)] and disease-negative patients [n(DN)] from the apparent number of disease-positive and disease-negative patients (an(DP) and an(DN)), and the Se and Sp of the RS (Se(R), Sp(R)): n(DP) = (an(DP) × Sp(R) + an(DN) × Sp(R) − an(DN))/J(R); n(DN) = (an(DP) × Se(R) + an(DN) × Se(R) − an(DP))/J(R), where J(R) is Youden’s Index for the RS (J(R) = Se(R) + Sp(R) − 1). The following derived formulas give the correct Se and Sp of an investigational test (Se(I) and Sp(I)): Se(I) = (an(TPI) × Sp(R) − n(DP) × Se(R) × Sp(R) + n(DP) × J(R) + n(DN) × Sp(R)(2) − n(DN) × Sp(R) − Sp(R) × an(TNI) + an(TNI))/(n(DP) × J(R)); Sp(I) = (an(TPI) − an(TPI) × Se(R) + n(DP) × Se(R)(2) − n(DP) × Se(R) − Se(R) × n(DN) × Sp(R) + n(DN) × J(R) + Se(R) × an(TNI))/(n(DN) × J(R)), where an(TPI) is the apparent number of true-positive test results, and an(TNI) is the apparent number of true-negative test results. The derived formulas correct for patient misclassification by an imperfect RS and give the correct values of a diagnostic test’s Se and Sp. MDPI 2022-12-28 /pmc/articles/PMC9818831/ /pubmed/36611381 http://dx.doi.org/10.3390/diagnostics13010090 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sherwin, Paul F. Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard |
title | Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard |
title_full | Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard |
title_fullStr | Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard |
title_full_unstemmed | Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard |
title_short | Correcting Diagnostic Test Sensitivity and Specificity for Patient Misclassifications Resulting from Use of an Imperfect Reference Standard |
title_sort | correcting diagnostic test sensitivity and specificity for patient misclassifications resulting from use of an imperfect reference standard |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818831/ https://www.ncbi.nlm.nih.gov/pubmed/36611381 http://dx.doi.org/10.3390/diagnostics13010090 |
work_keys_str_mv | AT sherwinpaulf correctingdiagnostictestsensitivityandspecificityforpatientmisclassificationsresultingfromuseofanimperfectreferencestandard |