dc.creatorABDELMONEIM, Sahar S.
dc.creatorDHOBLE, Abhijeet
dc.creatorBERNIER, Mathieu
dc.creatorERWIN, Patricia J.
dc.creatorKOROSOGLOU, Grigorios
dc.creatorSENIOR, Roxy
dc.creatorMOIR, Stuart
dc.creatorKOWATSCH, Ingrid
dc.creatorShu Xian-Hong
dc.creatorMURO, Takashi
dc.creatorDAWSON, Dana
dc.creatorVOGEL, Rolf
dc.creatorWEI, Kevin
dc.creatorWEST, Colin P.
dc.creatorMONTORI, Victor M.
dc.creatorPELLIKKA, Patricia A.
dc.creatorABDEL-KADER, Samir S.
dc.creatorMULVAGH, Sharon L.
dc.date.accessioned2012-10-19T18:25:03Z
dc.date.accessioned2018-07-04T15:12:12Z
dc.date.available2012-10-19T18:25:03Z
dc.date.available2018-07-04T15:12:12Z
dc.date.created2012-10-19T18:25:03Z
dc.date.issued2009
dc.identifierEUROPEAN JOURNAL OF ECHOCARDIOGRAPHY, v.10, n.7, p.813-825, 2009
dc.identifier1525-2167
dc.identifierhttp://producao.usp.br/handle/BDPI/23222
dc.identifier10.1093/ejechocard/jep084
dc.identifierhttp://dx.doi.org/10.1093/ejechocard/jep084
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1619952
dc.description.abstractAims We conducted a meta-analysis to evaluate the accuracy of quantitative stress myocardial contrast echocardiography (MCE) in coronary artery disease (CAD). Methods and results Database search was performed through January 2008. We included studies evaluating accuracy of quantitative stress MCE for detection of CAD compared with coronary angiography or single-photon emission computed tomography (SPECT) and measuring reserve parameters of A, beta, and A beta. Data from studies were verified and supplemented by the authors of each study. Using random effects meta-analysis, we estimated weighted mean difference (WMD), likelihood ratios (LRs), diagnostic odds ratios (DORs), and summary area under curve (AUC), all with 95% confidence interval (0). Of 1443 studies, 13 including 627 patients (age range, 38-75 years) and comparing MCE with angiography (n = 10), SPECT (n = 1), or both (n = 2) were eligible. WMD (95% CI) were significantly less in CAD group than no-CAD group: 0.12 (0.06-0.18) (P < 0.001), 1.38 (1.28-1.52) (P < 0.001), and 1.47 (1.18-1.76) (P < 0.001) for A, beta, and A beta reserves, respectively. Pooled LRs for positive test were 1.33 (1.13-1.57), 3.76 (2.43-5.80), and 3.64 (2.87-4.78) and LRs for negative test were 0.68 (0.55-0.83), 0.30 (0.24-0.38), and 0.27 (0.22-0.34) for A, beta, and A beta reserves, respectively. Pooled DORs were 2.09 (1.42-3.07), 15.11 (7.90-28.91), and 14.73 (9.61-22.57) and AUCs were 0.637 (0.594-0.677), 0.851 (0.828-0.872), and 0.859 (0.842-0.750) for A, beta, and A beta reserves, respectively. Conclusion Evidence supports the use of quantitative MCE as a non-invasive test for detection of CAD. Standardizing MCE quantification analysis and adherence to reporting standards for diagnostic tests could enhance the quality of evidence in this field.
dc.languageeng
dc.publisherOXFORD UNIV PRESS
dc.relationEuropean Journal of Echocardiography
dc.rightsCopyright OXFORD UNIV PRESS
dc.rightsrestrictedAccess
dc.subjectCoronary artery disease
dc.subjectMyocardial perfusion
dc.subjectQuantitative contrast
dc.subjectStress echocardiography
dc.titleQuantitative myocardial contrast echocardiography during pharmacological stress for diagnosis of coronary artery disease: a systematic review and meta-analysis of diagnostic accuracy studies
dc.typeArtículos de revistas


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