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Systematic review, meta-analysis and economic modelling of ...

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Assessment <strong>of</strong> diagnostic <strong>and</strong> prognostic accuracyStudy TP FP FN TN Sensitivity Specificity Sensitivity SpecificityApple 2008 54 36 52 13 270 0.76 (0.63 to 0.86) 0.84 (0.80 to 0.88)Keller 2009 20 375 138 38 1267 0.91 (0.88 to 0.93) 0.90 (0.89 to 0.92)Reichlin 2009 19 109 48 14 547 0.89 (0.83 to 0.93) 0.92 (0.90 to 0.94)Pooled effect 0.86 (0.60 to 0.96) 0.89 (0.70 to 0.97)Predictive effect 0.86 (0.26 to 0.99) 0.89 (0.40 to 0.99)0 0.2 0.4 0.6 0.8 1.00 0.2 0.4 0.6 0.8 1.0FIGURE 11 Meta-<strong>analysis</strong> <strong>of</strong> studies <strong>of</strong> ADVIA Centaur Ultra TnI.Study TP FP FN TN Sensitivity Specificity Sensitivity SpecificityIlva 2009 50 105 0 29 158 0.79 (0.72 to 0.85) 0.99 (0.96 to 1.00)Reichlin 2009 19 105 42 18 553 0.85 (0.79 to 0.90) 0.93 (0.91 to 0.95)Rudolph 2010 81 86 17 14 157 0.86 (0.79 to 0.91) 0.91 (0.86 to 0.95)Pooled effect 0.84 (0.72 to 0.91) 0.95 (0.86 to 0.99)Predictive effect 0.84 (0.58 to 0.95) 0.95 (0.67 to 1.00)0 0.2 0.4 0.6 0.8 1.00 0.2 0.4 0.6 0.8 1.0FIGURE 12 Meta-<strong>analysis</strong> <strong>of</strong> studies <strong>of</strong> Abbott Architect TnI.Study TP FP FN TN Sensitivity Specificity Sensitivity SpecificityChrist 2010 60 19 45 1 72 0.96 (0.84 to 0.99) 0.62 (0.53 to 0.71)Reichlin 2009 19 117 119 6 476 0.95 (0.91 to 0.98) 0.80 (0.77 to 0.83)Pooled effect 0.96 (0.66 to 1.00) 0.72 (0.16 to 0.96)Predictive effect 0.96 (0.27 to 1.00) 0.72 (0.03 to 0.99)0 0.2 0.4 0.6 0.8 1.00 0.2 0.4 0.6 0.8 1.0FIGURE 13 Meta-<strong>analysis</strong> <strong>of</strong> studies <strong>of</strong> Roche HsTnT.34NIHR Journals Library

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