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The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis

BACKGROUND: The prevalence of coeliac disease (CD) is around 1%, but diagnosis is challenged by varied presentation and non-specific symptoms and signs. This study aimed to identify diagnostic indicators that may help identify patients at a higher risk of CD in whom further testing is warranted. MET...

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Autores principales: Elwenspoek, Martha M. C., Jackson, Joni, O’Donnell, Rachel, Sinobas, Anthony, Dawson, Sarah, Everitt, Hazel, Gillett, Peter, Hay, Alastair D., Lane, Deborah L., Mallett, Susan, Robins, Gerry, Watson, Jessica C., Jones, Hayley E., Whiting, Penny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545431/
https://www.ncbi.nlm.nih.gov/pubmed/34695139
http://dx.doi.org/10.1371/journal.pone.0258501
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author Elwenspoek, Martha M. C.
Jackson, Joni
O’Donnell, Rachel
Sinobas, Anthony
Dawson, Sarah
Everitt, Hazel
Gillett, Peter
Hay, Alastair D.
Lane, Deborah L.
Mallett, Susan
Robins, Gerry
Watson, Jessica C.
Jones, Hayley E.
Whiting, Penny
author_facet Elwenspoek, Martha M. C.
Jackson, Joni
O’Donnell, Rachel
Sinobas, Anthony
Dawson, Sarah
Everitt, Hazel
Gillett, Peter
Hay, Alastair D.
Lane, Deborah L.
Mallett, Susan
Robins, Gerry
Watson, Jessica C.
Jones, Hayley E.
Whiting, Penny
author_sort Elwenspoek, Martha M. C.
collection PubMed
description BACKGROUND: The prevalence of coeliac disease (CD) is around 1%, but diagnosis is challenged by varied presentation and non-specific symptoms and signs. This study aimed to identify diagnostic indicators that may help identify patients at a higher risk of CD in whom further testing is warranted. METHODS: International guidance for systematic review methods were followed and the review was registered at PROSPERO (CRD42020170766). Six databases were searched until April 2021. Studies investigating diagnostic indicators, such as symptoms or risk conditions, in people with and without CD were eligible for inclusion. Risk of bias was assessed using the QUADAS-2 tool. Summary sensitivity, specificity, and positive predictive values were estimated for each diagnostic indicator by fitting bivariate random effects meta-analyses. FINDINGS: 191 studies reporting on 26 diagnostic indicators were included in the meta-analyses. We found large variation in diagnostic accuracy estimates between studies and most studies were at high risk of bias. We found strong evidence that people with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease are more likely than the general population to have CD. Symptoms, psoriasis, epilepsy, inflammatory bowel disease, systemic lupus erythematosus, fractures, type 2 diabetes, and multiple sclerosis showed poor diagnostic ability. A sensitivity analysis revealed a 3-fold higher risk of CD in first-degree relatives of CD patients. CONCLUSIONS: Targeted testing of individuals with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease could improve case-finding for CD, therefore expediting appropriate treatment and reducing adverse consequences. Migraine and chronic liver disease are not yet included as a risk factor in all CD guidelines, but it may be appropriate for these to be added. Future research should establish the diagnostic value of combining indicators.
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spelling pubmed-85454312021-10-26 The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis Elwenspoek, Martha M. C. Jackson, Joni O’Donnell, Rachel Sinobas, Anthony Dawson, Sarah Everitt, Hazel Gillett, Peter Hay, Alastair D. Lane, Deborah L. Mallett, Susan Robins, Gerry Watson, Jessica C. Jones, Hayley E. Whiting, Penny PLoS One Research Article BACKGROUND: The prevalence of coeliac disease (CD) is around 1%, but diagnosis is challenged by varied presentation and non-specific symptoms and signs. This study aimed to identify diagnostic indicators that may help identify patients at a higher risk of CD in whom further testing is warranted. METHODS: International guidance for systematic review methods were followed and the review was registered at PROSPERO (CRD42020170766). Six databases were searched until April 2021. Studies investigating diagnostic indicators, such as symptoms or risk conditions, in people with and without CD were eligible for inclusion. Risk of bias was assessed using the QUADAS-2 tool. Summary sensitivity, specificity, and positive predictive values were estimated for each diagnostic indicator by fitting bivariate random effects meta-analyses. FINDINGS: 191 studies reporting on 26 diagnostic indicators were included in the meta-analyses. We found large variation in diagnostic accuracy estimates between studies and most studies were at high risk of bias. We found strong evidence that people with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease are more likely than the general population to have CD. Symptoms, psoriasis, epilepsy, inflammatory bowel disease, systemic lupus erythematosus, fractures, type 2 diabetes, and multiple sclerosis showed poor diagnostic ability. A sensitivity analysis revealed a 3-fold higher risk of CD in first-degree relatives of CD patients. CONCLUSIONS: Targeted testing of individuals with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease could improve case-finding for CD, therefore expediting appropriate treatment and reducing adverse consequences. Migraine and chronic liver disease are not yet included as a risk factor in all CD guidelines, but it may be appropriate for these to be added. Future research should establish the diagnostic value of combining indicators. Public Library of Science 2021-10-25 /pmc/articles/PMC8545431/ /pubmed/34695139 http://dx.doi.org/10.1371/journal.pone.0258501 Text en © 2021 Elwenspoek 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
Elwenspoek, Martha M. C.
Jackson, Joni
O’Donnell, Rachel
Sinobas, Anthony
Dawson, Sarah
Everitt, Hazel
Gillett, Peter
Hay, Alastair D.
Lane, Deborah L.
Mallett, Susan
Robins, Gerry
Watson, Jessica C.
Jones, Hayley E.
Whiting, Penny
The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis
title The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis
title_full The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis
title_fullStr The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis
title_full_unstemmed The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis
title_short The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis
title_sort accuracy of diagnostic indicators for coeliac disease: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545431/
https://www.ncbi.nlm.nih.gov/pubmed/34695139
http://dx.doi.org/10.1371/journal.pone.0258501
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