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The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy
BACKGROUND: Sensitivity and specificity are characteristics of a diagnostic test and are not expected to change as the prevalence of the target condition changes. We sought to evaluate the association between prevalence and changes in sensitivity and specificity. METHODS: We retrieved data from meta...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CMA Impact Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356012/ https://www.ncbi.nlm.nih.gov/pubmed/37460126 http://dx.doi.org/10.1503/cmaj.221802 |
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author | Murad, M. Hassan Lin, Lifeng Chu, Haitao Hasan, Bashar Alsibai, Reem A. Abbas, Alzhraa S. Mustafa, Reem A. Wang, Zhen |
author_facet | Murad, M. Hassan Lin, Lifeng Chu, Haitao Hasan, Bashar Alsibai, Reem A. Abbas, Alzhraa S. Mustafa, Reem A. Wang, Zhen |
author_sort | Murad, M. Hassan |
collection | PubMed |
description | BACKGROUND: Sensitivity and specificity are characteristics of a diagnostic test and are not expected to change as the prevalence of the target condition changes. We sought to evaluate the association between prevalence and changes in sensitivity and specificity. METHODS: We retrieved data from meta-analyses of diagnostic test accuracy published in the Cochrane Database of Systematic Reviews (2003–2020). We used mixed-effects random-intercept linear regression models to evaluate the association between prevalence and logit-transformed sensitivity and specificity. The model evaluated all meta-analyses as nested within each systematic review. RESULTS: We analyzed 6909 diagnostic test accuracy studies from 552 meta-analyses that were included in 92 systematic reviews. For sensitivity, compared with the lowest quartile of prevalence, the second, third and fourth quartiles were associated with significantly higher odds of identifying a true positive case (odds ratio [OR] 1.17, 95% confidence interval [CI] 1.09–1.26; OR 1.32, 95% CI 1.23–1.41; OR 1.47, 95% CI 1.37–1.58; respectively). For specificity, compared with the lowest quartile of prevalence, the second, third and fourth quartiles were associated with significantly lower odds of identifying a true negative case (OR 0.74, 95% CI 0.69–0.80; OR 0.65, 95% CI 0.60–0.70; OR 0.47, 95% CI 0.44–0.51; respectively). Pooled regression coefficients from bivariate models conducted within each meta-analysis showed that prevalence was positively associated with sensitivity and negatively associated with specificity. Findings were consistent across subgroups. INTERPRETATION: In this large sample of diagnostic studies, higher prevalence was associated with higher estimated sensitivity and lower estimated specificity. Clinicians should consider the implications of disease prevalence and spectrum when interpreting the results from studies of diagnostic test accuracy. |
format | Online Article Text |
id | pubmed-10356012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | CMA Impact Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103560122023-07-20 The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy Murad, M. Hassan Lin, Lifeng Chu, Haitao Hasan, Bashar Alsibai, Reem A. Abbas, Alzhraa S. Mustafa, Reem A. Wang, Zhen CMAJ Research BACKGROUND: Sensitivity and specificity are characteristics of a diagnostic test and are not expected to change as the prevalence of the target condition changes. We sought to evaluate the association between prevalence and changes in sensitivity and specificity. METHODS: We retrieved data from meta-analyses of diagnostic test accuracy published in the Cochrane Database of Systematic Reviews (2003–2020). We used mixed-effects random-intercept linear regression models to evaluate the association between prevalence and logit-transformed sensitivity and specificity. The model evaluated all meta-analyses as nested within each systematic review. RESULTS: We analyzed 6909 diagnostic test accuracy studies from 552 meta-analyses that were included in 92 systematic reviews. For sensitivity, compared with the lowest quartile of prevalence, the second, third and fourth quartiles were associated with significantly higher odds of identifying a true positive case (odds ratio [OR] 1.17, 95% confidence interval [CI] 1.09–1.26; OR 1.32, 95% CI 1.23–1.41; OR 1.47, 95% CI 1.37–1.58; respectively). For specificity, compared with the lowest quartile of prevalence, the second, third and fourth quartiles were associated with significantly lower odds of identifying a true negative case (OR 0.74, 95% CI 0.69–0.80; OR 0.65, 95% CI 0.60–0.70; OR 0.47, 95% CI 0.44–0.51; respectively). Pooled regression coefficients from bivariate models conducted within each meta-analysis showed that prevalence was positively associated with sensitivity and negatively associated with specificity. Findings were consistent across subgroups. INTERPRETATION: In this large sample of diagnostic studies, higher prevalence was associated with higher estimated sensitivity and lower estimated specificity. Clinicians should consider the implications of disease prevalence and spectrum when interpreting the results from studies of diagnostic test accuracy. CMA Impact Inc. 2023-07-17 2023-07-17 /pmc/articles/PMC10356012/ /pubmed/37460126 http://dx.doi.org/10.1503/cmaj.221802 Text en © 2023 CMA Impact Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Research Murad, M. Hassan Lin, Lifeng Chu, Haitao Hasan, Bashar Alsibai, Reem A. Abbas, Alzhraa S. Mustafa, Reem A. Wang, Zhen The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy |
title | The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy |
title_full | The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy |
title_fullStr | The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy |
title_full_unstemmed | The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy |
title_short | The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy |
title_sort | association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356012/ https://www.ncbi.nlm.nih.gov/pubmed/37460126 http://dx.doi.org/10.1503/cmaj.221802 |
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