CT: Meta-anaysis: noninvasive coronary angiography using computed...

In CAMAN: Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN

Meta-anaysis: noninvasive coronary angiography using computed tomography (CT)

Description

CT for ruling out clinically significant coronary artery disease (CAD) in adults with suspected or known CAD. The accuracy and clinical value of CT was assessed in this meta-analysis.

MEDLINE, EMBASE, and ISI Web of Science searches from inception through 2 June 2009 and bibliographies of reviews. Prospective English- or German-language studies that compared CT or MRI with conventional coronary angiography in all patients and included sufficient data for compilation of 2 x 2 tables. Two investigators independently extracted patient and study characteristics; differences were resolved by consensus. 89 studies comprising 7516 assessed the diagnostic value of CT.

Usage

data("CT")

Format

A data frame consisting of 91 data sets (rows) and 10 attributes (columns)

Variable Names in order from left to right:

Author

Author

Year

Year

TP

true positive

FP

False positive

FN

False negative

TN

True negative

logitTPR

logit-true positive rate

logitTNR

logit-true negative rate

varlogitTPR

Variance of logit TPR

varlogitTNR

Variance of logit TPR

References

Schuetz GM, Zacharopoulou NM, Schlattmann P, Dewey M. Meta-analysis: noninvasive coronary angiography using computed tomography versus magnetic resonance imaging. Ann Intern Med. 2010 Feb 2;152(3):167-77. doi: 10.7326/0003-4819-152-3-201002020-00008.

Examples

#Use the EM-algorithm for a diagnostic meta-analysis based on a mixture 
#of bivariate  normal densities.
#Here fixed study specific variances are calculated based on logit 
#transformed sensitivity and specificity. 
data(CT)
p2 <- c(0.4,0.6)
lamlog12 <- c(2.93,3.22)
lamlog22 <- c(2.5,1.5)

m0 <- bivariate.EM(obs1=logitTPR,obs2=logitTNR,
                   var1=varlogitTPR,var2=varlogitTNR,
                   type="meta",lambda1=lamlog12,lambda2=lamlog22,
                   p=p2,data=CT,class="FALSE")

CAMAN documentation built on Sept. 22, 2023, 5:12 p.m.