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Meta-DiSc: a software for meta-analysis of test accuracy data

BACKGROUND: Systematic reviews and meta-analyses of test accuracy studies are increasingly being recognised as central in guiding clinical practice. However, there is currently no dedicated and comprehensive software for meta-analysis of diagnostic data. In this article, we present Meta-DiSc, a Wind...

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Autores principales: Zamora, Javier, Abraira, Victor, Muriel, Alfonso, Khan, Khalid, Coomarasamy, Arri
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1552081/
https://www.ncbi.nlm.nih.gov/pubmed/16836745
http://dx.doi.org/10.1186/1471-2288-6-31
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author Zamora, Javier
Abraira, Victor
Muriel, Alfonso
Khan, Khalid
Coomarasamy, Arri
author_facet Zamora, Javier
Abraira, Victor
Muriel, Alfonso
Khan, Khalid
Coomarasamy, Arri
author_sort Zamora, Javier
collection PubMed
description BACKGROUND: Systematic reviews and meta-analyses of test accuracy studies are increasingly being recognised as central in guiding clinical practice. However, there is currently no dedicated and comprehensive software for meta-analysis of diagnostic data. In this article, we present Meta-DiSc, a Windows-based, user-friendly, freely available (for academic use) software that we have developed, piloted, and validated to perform diagnostic meta-analysis. RESULTS: Meta-DiSc a) allows exploration of heterogeneity, with a variety of statistics including chi-square, I-squared and Spearman correlation tests, b) implements meta-regression techniques to explore the relationships between study characteristics and accuracy estimates, c) performs statistical pooling of sensitivities, specificities, likelihood ratios and diagnostic odds ratios using fixed and random effects models, both overall and in subgroups and d) produces high quality figures, including forest plots and summary receiver operating characteristic curves that can be exported for use in manuscripts for publication. All computational algorithms have been validated through comparison with different statistical tools and published meta-analyses. Meta-DiSc has a Graphical User Interface with roll-down menus, dialog boxes, and online help facilities. CONCLUSION: Meta-DiSc is a comprehensive and dedicated test accuracy meta-analysis software. It has already been used and cited in several meta-analyses published in high-ranking journals. The software is publicly available at .
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spelling pubmed-15520812006-08-23 Meta-DiSc: a software for meta-analysis of test accuracy data Zamora, Javier Abraira, Victor Muriel, Alfonso Khan, Khalid Coomarasamy, Arri BMC Med Res Methodol Software BACKGROUND: Systematic reviews and meta-analyses of test accuracy studies are increasingly being recognised as central in guiding clinical practice. However, there is currently no dedicated and comprehensive software for meta-analysis of diagnostic data. In this article, we present Meta-DiSc, a Windows-based, user-friendly, freely available (for academic use) software that we have developed, piloted, and validated to perform diagnostic meta-analysis. RESULTS: Meta-DiSc a) allows exploration of heterogeneity, with a variety of statistics including chi-square, I-squared and Spearman correlation tests, b) implements meta-regression techniques to explore the relationships between study characteristics and accuracy estimates, c) performs statistical pooling of sensitivities, specificities, likelihood ratios and diagnostic odds ratios using fixed and random effects models, both overall and in subgroups and d) produces high quality figures, including forest plots and summary receiver operating characteristic curves that can be exported for use in manuscripts for publication. All computational algorithms have been validated through comparison with different statistical tools and published meta-analyses. Meta-DiSc has a Graphical User Interface with roll-down menus, dialog boxes, and online help facilities. CONCLUSION: Meta-DiSc is a comprehensive and dedicated test accuracy meta-analysis software. It has already been used and cited in several meta-analyses published in high-ranking journals. The software is publicly available at . BioMed Central 2006-07-12 /pmc/articles/PMC1552081/ /pubmed/16836745 http://dx.doi.org/10.1186/1471-2288-6-31 Text en Copyright © 2006 Zamora et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Zamora, Javier
Abraira, Victor
Muriel, Alfonso
Khan, Khalid
Coomarasamy, Arri
Meta-DiSc: a software for meta-analysis of test accuracy data
title Meta-DiSc: a software for meta-analysis of test accuracy data
title_full Meta-DiSc: a software for meta-analysis of test accuracy data
title_fullStr Meta-DiSc: a software for meta-analysis of test accuracy data
title_full_unstemmed Meta-DiSc: a software for meta-analysis of test accuracy data
title_short Meta-DiSc: a software for meta-analysis of test accuracy data
title_sort meta-disc: a software for meta-analysis of test accuracy data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1552081/
https://www.ncbi.nlm.nih.gov/pubmed/16836745
http://dx.doi.org/10.1186/1471-2288-6-31
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