Abstract

ity between studies was assessed using the Cochrane's Q and I2 statistics. Publication bias was evaluated by visual inspection of funnel plots. All analyses were done using Meta-Disc 1.4 and REVMAN 5.1. Results: Thirteen studies were included in the analysis: 10 for APRI (N=3,743) and 3 for TE (N=1,517). The AUCs for TE and APRI were 0.85 (95% CI 0.82-0.88) and 0.82 (95% CI 0.78-0.86) respectively. Table 1 summarizes the diagnostic performance of TE and APRI. In our subgroup analysis, significant misclassification of advanced (as significant) fibrosis by TE was more common among patients with steatosis than those without (25 vs 5%, p=0.01). APRI was accurate in diagnosis of F4 (AUC .0.80) but not for diagnosing ≥F2 and ≥F3 (AUC,0.80). APRI had lower diagnostic accuracy in the subgroup of patients with CD4 count , 250 cell/mm3 (0.64 vs 0.86, p=0.05). There was no evidence of publication bias in these analyses. Conclusion: This study shows that both TE and APRI can accurately diagnose cirrhosis in HIV-HCV co-infected patients. However, they are inaccurate for the diagnosis of significant and advanced fibrosis. The modest sensitivity and high specificity implies that both TE and APRI are better at excluding than predicting fibrosis. Moreover, the diagnostic accuracy of TE is affected by steatosis while accuracy of APRI may be affected by CD4 count. Table 1: Summary Diagnostic performance values for prediction of F2-F4 fibrosis

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