Cargando…
An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests
Latent class analysis is a widely used statistical method for evaluating diagnostic tests without any gold standard. It requires the results of at least two tests applied to the same individuals. Based on the resulting response patterns, the method estimates the test accuracy and the unknown disease...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789123/ https://www.ncbi.nlm.nih.gov/pubmed/35077518 http://dx.doi.org/10.1371/journal.pone.0262944 |
_version_ | 1784639697746657280 |
---|---|
author | Schoneberg, Clara Böttcher, Jens Janowetz, Britta Rostalski, Anja Kreienbrock, Lothar Campe, Amely |
author_facet | Schoneberg, Clara Böttcher, Jens Janowetz, Britta Rostalski, Anja Kreienbrock, Lothar Campe, Amely |
author_sort | Schoneberg, Clara |
collection | PubMed |
description | Latent class analysis is a widely used statistical method for evaluating diagnostic tests without any gold standard. It requires the results of at least two tests applied to the same individuals. Based on the resulting response patterns, the method estimates the test accuracy and the unknown disease status for all individuals in the sample. An important assumption is the conditional independence of the tests. If tests with the same biological principle are used, the assumption is not fulfilled, which may lead to biased results. In a recent publication, we developed a method that considers the dependencies in the latent class model and estimates all parameters using frequentist methods. Here, we evaluate the practicability of the method by applying it to the results of six ELISA tests for antibodies against the porcine reproductive and respiratory syndrome (PRRS) virus in pigs that generally follow the same biological principle. First, we present different methods of identifying suitable starting values for the algorithm and apply these to the dataset and a vaccinated subgroup. We present the calculated values of the test accuracies, the estimated proportion of antibody-positive animals and the dependency structure for both datasets. Different starting values led to matching results for the entire dataset. For the vaccinated subgroup, the results were more dependent on the selected starting values. All six ELISA tests are well suited to detect antibodies against PRRS virus, whereas none of the tests had the best values for sensitivity and specificity simultaneously. The results thus show that the method used is able to determine the parameter values of conditionally dependent tests with suitable starting values. The choice of test should be based on the general fit-for-purpose concept and the population under study. |
format | Online Article Text |
id | pubmed-8789123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87891232022-01-26 An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests Schoneberg, Clara Böttcher, Jens Janowetz, Britta Rostalski, Anja Kreienbrock, Lothar Campe, Amely PLoS One Research Article Latent class analysis is a widely used statistical method for evaluating diagnostic tests without any gold standard. It requires the results of at least two tests applied to the same individuals. Based on the resulting response patterns, the method estimates the test accuracy and the unknown disease status for all individuals in the sample. An important assumption is the conditional independence of the tests. If tests with the same biological principle are used, the assumption is not fulfilled, which may lead to biased results. In a recent publication, we developed a method that considers the dependencies in the latent class model and estimates all parameters using frequentist methods. Here, we evaluate the practicability of the method by applying it to the results of six ELISA tests for antibodies against the porcine reproductive and respiratory syndrome (PRRS) virus in pigs that generally follow the same biological principle. First, we present different methods of identifying suitable starting values for the algorithm and apply these to the dataset and a vaccinated subgroup. We present the calculated values of the test accuracies, the estimated proportion of antibody-positive animals and the dependency structure for both datasets. Different starting values led to matching results for the entire dataset. For the vaccinated subgroup, the results were more dependent on the selected starting values. All six ELISA tests are well suited to detect antibodies against PRRS virus, whereas none of the tests had the best values for sensitivity and specificity simultaneously. The results thus show that the method used is able to determine the parameter values of conditionally dependent tests with suitable starting values. The choice of test should be based on the general fit-for-purpose concept and the population under study. Public Library of Science 2022-01-25 /pmc/articles/PMC8789123/ /pubmed/35077518 http://dx.doi.org/10.1371/journal.pone.0262944 Text en © 2022 Schoneberg et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Schoneberg, Clara Böttcher, Jens Janowetz, Britta Rostalski, Anja Kreienbrock, Lothar Campe, Amely An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests |
title | An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests |
title_full | An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests |
title_fullStr | An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests |
title_full_unstemmed | An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests |
title_short | An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests |
title_sort | intercomparison study of elisas for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789123/ https://www.ncbi.nlm.nih.gov/pubmed/35077518 http://dx.doi.org/10.1371/journal.pone.0262944 |
work_keys_str_mv | AT schonebergclara anintercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT bottcherjens anintercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT janowetzbritta anintercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT rostalskianja anintercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT kreienbrocklothar anintercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT campeamely anintercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT schonebergclara intercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT bottcherjens intercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT janowetzbritta intercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT rostalskianja intercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT kreienbrocklothar intercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests AT campeamely intercomparisonstudyofelisasforthedetectionofporcinereproductiveandrespiratorysyndromevirusevaluatingsixconditionallydependenttests |