title: Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression analysis.
abstract: OBJECTIVE
  To evaluate the impact of coronary artery disease (CAD) prevalence on the predictive values of coronary CT angiography.
  
  
  METHODS
  We performed a meta-regression based on a generalised linear mixed model using the binomial distribution and a logit link to analyse the influence of the prevalence of CAD in published studies on the per-patient negative and positive predictive values of CT in comparison to conventional coronary angiography as the reference standard. A prevalence range in which the negative predictive value was higher than 90%, while at the same time the positive predictive value was higher than 70% was considered appropriate.
  
  
  RESULTS
  The summary negative and positive predictive values of coronary CT angiography were 93.7% (95% confidence interval [CI] 92.8-94.5%) and 87.5% (95% CI, 86.5-88.5%), respectively. With 95% confidence, negative and positive predictive values higher than 90% and 70% were available with CT for a CAD prevalence of 18-63%. CT systems with >16 detector rows met these requirements for the positive (P < 0.01) and negative (P < 0.05) predictive values in a significantly broader range than systems with ≤16 detector rows.
  
  
  CONCLUSIONS
  It is reasonable to perform coronary CT angiography as a rule-out test in patients with a low-to-intermediate likelihood of disease.
authors: Department of Medical Statistics, Informatics and Documentation, University Hospital of Friedrich-Schiller University Jena, Jena, Germany.
authors: Peter
authors: P
authors: Schlattmann
authors: Georg M
authors: GM
authors: Schuetz
authors: Marc
authors: M
authors: Dewey
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