Meta-DiSc 2.0 : a web application for meta-analysis of diagnostic test accuracy data
Plana, Maria N. (Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública)
Arevalo-Rodriguez, Ingrid (Hospital Universitario Ramón y Cajal (Madrid))
Fernández-García, Silvia (Hospital Universitario Ramón y Cajal (Madrid))
Soto, Javier (Hospital Universitario Ramón y Cajal (Madrid))
Fabregate, Martin (Hospital Universitario Ramón y Cajal (Madrid))
Pérez, Teresa (Queen Mary University of London)
Roqué i Figuls, Marta (Institut d'Investigació Biomèdica Sant Pau)
Zamora, Javier (University of Birmingham)
Universitat Autònoma de Barcelona

Data:	2022
Resum:	Diagnostic evidence of the accuracy of a test for identifying a target condition of interest can be estimated using systematic approaches following standardized methodologies. Statistical methods for the meta-analysis of diagnostic test accuracy (DTA) studies are relatively complex, presenting a challenge for reviewers without extensive statistical expertise. In 2006, we developed Meta-DiSc, a free user-friendly software to perform test accuracy meta-analysis. This statistical program is now widely used for performing DTA meta-analyses. We aimed to build a new version of the Meta-DiSc software to include statistical methods based on hierarchical models and an enhanced web-based interface to improve user experience. In this article, we present the updated version, Meta-DiSc 2. 0, a web-based application developed using the R Shiny package. This new version implements recommended state-of-the-art statistical models to overcome the limitations of the statistical approaches included in the previous version. Meta-DiSc 2. 0 performs statistical analyses of DTA reviews using a bivariate random effects model. The application offers a thorough analysis of heterogeneity, calculating logit variance estimates of sensitivity and specificity, the bivariate I-squared, the area of the 95% prediction ellipse, and the median odds ratios for sensitivity and specificity, and facilitating subgroup and meta-regression analyses. Furthermore, univariate random effects models can be applied to meta-analyses with few studies or with non-convergent bivariate models. The application interface has an intuitive design set out in four main menus: file upload; graphical description (forest and ROC plane plots); meta-analysis (pooling of sensitivity and specificity, estimation of likelihood ratios and diagnostic odds ratio, sROC curve); and summary of findings (impact of test through downstream consequences in a hypothetical population with a given prevalence). All computational algorithms have been validated in several real datasets by comparing results obtained with STATA/SAS and MetaDTA packages. We have developed and validated an updated version of the Meta-DiSc software that is more accessible and statistically sound. The web application is freely available at www. metadisc. es.
Ajuts:	Ministerio de Economía y Competitividad PI19/00481
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Diagnosis ; Heterogeneity ; Meta-analysis ; Sensitivity ; Specificity ; Systematic review
Publicat a:	BMC Medical Research Methodology, Vol. 22 Núm. 1 (december 2022) , p. 306, ISSN 1471-2288

DOI: 10.1186/s12874-022-01788-2
PMID: 36443653

8 p, 1.6 MB

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