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Table 1.

Characteristics according to fibrosis stage in HCV-infected patients (N = 191).

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Table 2.

Distribution of HCV-infected patients in every single fibrosis stage (N = 191).

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Table 2 Expand

Table 3.

Serum markers (HA, PIIINP, TIMP-1) and ELF® values according to fibrosis stage in each 5-year time period.

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Table 3 Expand

Fig 1.

Diagnostic accuracy (AUROCs) of indirect (Forns, APRI, FIB-4) and direct (ELF) scores to identify significant fibrosis (F2-4).

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Fig 1 Expand

Table 4.

Diagnostic accuracy (AUROCs, 95% CI) of indirect (Forns, APRI, FIB-4) and direct (ELF) scores (N = 191) to identify significant fibrosis in each 5-year time period.

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Table 5.

Diagnostic accuracy (PPV, NPV, Se, Sp) of indirect (Forns, APRI, FIB-4) and direct (ELF) scores (N = 191) to identify significant fibrosis according to their previously validated cutoffs.

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Fig 2.

Predictive capacity of the ELF® score to identify clinical events during follow-up usingcryopreserved samples according to HCV-antiviral treatment response (n = 191).

Data of number of events (E) and patients at risk (R) in every 3 years time period.

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Fig 2 Expand