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Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections
BACKGROUND: Polyparasitism can lead to severe disability in endemic populations. Yet, the association between soil-transmitted helminth (STH) and the cumulative incidence of Schistosoma japonicum infection has not been described. The aim of this work was to quantify the effect of misclassification e...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066162/ https://www.ncbi.nlm.nih.gov/pubmed/21468317 http://dx.doi.org/10.1371/journal.pntd.0000995 |
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author | Tarafder, Mushfiqur R. Carabin, Hélène McGarvey, Stephen T. Joseph, Lawrence Balolong, Ernesto Olveda, Remigio |
author_facet | Tarafder, Mushfiqur R. Carabin, Hélène McGarvey, Stephen T. Joseph, Lawrence Balolong, Ernesto Olveda, Remigio |
author_sort | Tarafder, Mushfiqur R. |
collection | PubMed |
description | BACKGROUND: Polyparasitism can lead to severe disability in endemic populations. Yet, the association between soil-transmitted helminth (STH) and the cumulative incidence of Schistosoma japonicum infection has not been described. The aim of this work was to quantify the effect of misclassification error, which occurs when less than 100% accurate tests are used, in STH and S. japonicum infection status on the estimation of this association. METHODOLOGY/PRINCIPAL FINDINGS: Longitudinal data from 2276 participants in 50 villages in Samar province, Philippines treated at baseline for S. japonicum infection and followed for one year, served as the basis for this analysis. Participants provided 1–3 stool samples at baseline and 12 months later (2004–2005) to detect infections with STH and S. japonicum using the Kato-Katz technique. Variation from day-to-day in the excretion of eggs in feces introduces individual variations in the sensitivity and specificity of the Kato-Katz to detect infection. Bayesian logit models were used to take this variation into account and to investigate the impact of misclassification error on the association between these infections. Uniform priors for sensitivity and specificity of the diagnostic test to detect the three STH and S. japonicum were used. All results were adjusted for age, sex, occupation, and village-level clustering. Without correction for misclassification error, the odds ratios (ORs) between hookworm, Ascaris lumbricoides, and Trichuris trichiura, and S. japonicum infections were 1.28 (95% Bayesian credible intervals: 0.93, 1.76), 0.91 (95% BCI: 0.66, 1.26), and 1.11 (95% BCI: 0.80, 1.55), respectively, and 2.13 (95% BCI: 1.16, 4.08), 0.74 (95% BCI: 0.43, 1.25), and 1.32 (95% BCI: 0.80, 2.27), respectively, after correction for misclassification error for both exposure and outcome. CONCLUSIONS/SIGNIFICANCE: The misclassification bias increased with decreasing test accuracy. Hookworm infection was found to be associated with increased 12-month cumulative incidence of S. japonicum infection after correction for misclassification error. Such important associations might be missed in analyses which do not adjust for misclassification errors. |
format | Text |
id | pubmed-3066162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30661622011-04-05 Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections Tarafder, Mushfiqur R. Carabin, Hélène McGarvey, Stephen T. Joseph, Lawrence Balolong, Ernesto Olveda, Remigio PLoS Negl Trop Dis Research Article BACKGROUND: Polyparasitism can lead to severe disability in endemic populations. Yet, the association between soil-transmitted helminth (STH) and the cumulative incidence of Schistosoma japonicum infection has not been described. The aim of this work was to quantify the effect of misclassification error, which occurs when less than 100% accurate tests are used, in STH and S. japonicum infection status on the estimation of this association. METHODOLOGY/PRINCIPAL FINDINGS: Longitudinal data from 2276 participants in 50 villages in Samar province, Philippines treated at baseline for S. japonicum infection and followed for one year, served as the basis for this analysis. Participants provided 1–3 stool samples at baseline and 12 months later (2004–2005) to detect infections with STH and S. japonicum using the Kato-Katz technique. Variation from day-to-day in the excretion of eggs in feces introduces individual variations in the sensitivity and specificity of the Kato-Katz to detect infection. Bayesian logit models were used to take this variation into account and to investigate the impact of misclassification error on the association between these infections. Uniform priors for sensitivity and specificity of the diagnostic test to detect the three STH and S. japonicum were used. All results were adjusted for age, sex, occupation, and village-level clustering. Without correction for misclassification error, the odds ratios (ORs) between hookworm, Ascaris lumbricoides, and Trichuris trichiura, and S. japonicum infections were 1.28 (95% Bayesian credible intervals: 0.93, 1.76), 0.91 (95% BCI: 0.66, 1.26), and 1.11 (95% BCI: 0.80, 1.55), respectively, and 2.13 (95% BCI: 1.16, 4.08), 0.74 (95% BCI: 0.43, 1.25), and 1.32 (95% BCI: 0.80, 2.27), respectively, after correction for misclassification error for both exposure and outcome. CONCLUSIONS/SIGNIFICANCE: The misclassification bias increased with decreasing test accuracy. Hookworm infection was found to be associated with increased 12-month cumulative incidence of S. japonicum infection after correction for misclassification error. Such important associations might be missed in analyses which do not adjust for misclassification errors. Public Library of Science 2011-03-29 /pmc/articles/PMC3066162/ /pubmed/21468317 http://dx.doi.org/10.1371/journal.pntd.0000995 Text en Tarafder et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Tarafder, Mushfiqur R. Carabin, Hélène McGarvey, Stephen T. Joseph, Lawrence Balolong, Ernesto Olveda, Remigio Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections |
title | Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections |
title_full | Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections |
title_fullStr | Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections |
title_full_unstemmed | Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections |
title_short | Assessing the Impact of Misclassification Error on an Epidemiological Association between Two Helminthic Infections |
title_sort | assessing the impact of misclassification error on an epidemiological association between two helminthic infections |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066162/ https://www.ncbi.nlm.nih.gov/pubmed/21468317 http://dx.doi.org/10.1371/journal.pntd.0000995 |
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