2006
DOI: 10.1186/1471-2288-6-31
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Meta-DiSc: a software for meta-analysis of test accuracy data

Abstract: 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.

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Cited by 1,684 publications
(1,265 citation statements)
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References 23 publications
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“…Random-effects meta-analysis was performed using MetaDiSc®, Meta-analysis of Diagnostic and Screening tests, Version 1.4 [15]. Studies were weighted by total sample size to pool estimates of sensitivity and specificity across the studies.…”
Section: Methodsmentioning
confidence: 99%
“…Random-effects meta-analysis was performed using MetaDiSc®, Meta-analysis of Diagnostic and Screening tests, Version 1.4 [15]. Studies were weighted by total sample size to pool estimates of sensitivity and specificity across the studies.…”
Section: Methodsmentioning
confidence: 99%
“…The DOR expresses how much greater the odds of having the disease are for the people with a positive test result than for the people with a negative test result. It is a single measure of diagnostic test performance that combines both likelihood ratios [41].…”
Section: Methodsmentioning
confidence: 99%
“…The data was entered into meta-analysis software [41] and analysis performed using a weighted least squares method, weighting by study size and using a restricted maximum likelihood technique. The results of this analysis were used to plot SROC curves.…”
Section: Methodsmentioning
confidence: 99%
“…We conducted a meta-analysis of the sensitivity and specificity of AFP, US, spiral CT and MRI for HCC diagnosis in CHB patients using Meta-Disc (Zamora et al, 2006). A total of 19 studies were considered for the analysis (Maringhini et al, 1984;Okazaki et al, 1984;Kobayashi et al, 1985;Gambarin-Gelwan et al, 2000;Lim et al, 2000;Peterson et al, 2000;Kim, et al, 2001;Krinsky, et al, 2001;Rode et al, 2001;Tong et al, 2001;Trevisani et al, 2001;Bennett et al, 2002;de Ledinghen et al, 2002;Libbrecht et al, 2002;Mori et al, 2002;Zacherl et al, 2002;Bhartia et al, 2003;Burrel et al, 2003;Marrero et al, 2003).…”
Section: Transitional Probabilitiesmentioning
confidence: 99%