463 Comparison of usefulness and accuracy of simple noninvasive models as predictors of cirrhosis in chronic hepatitis C (CHC)

Borroni, G.; Cazzaniga, M.; Ceriani, R.; Tommasini, M.; Maltempo, C.; Felline, C.; Maggi, A L C

doi:10.1016/s0168-8278(04)90463-1

Cited by 3 publications

(2 citation statements)

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“…8 This model also performed poorly in our database and was much less accurate in other reports. 10,18,22 Similarly, the AST-to-platelet ratio index, proposed recently to predict accurately (AUROC of 0.89-0.94) the presence of cirrhosis, 15 was derived in a study that included only 41 patients with cirrhosis, and was validated in some 33 but not all cohorts, 34 including our training set. Other models have included subjective variables that have not been validated by others 13 ; incorporated less readily available laboratory Abbreviations: PPV, positive predictive value; NPV, negative predictive value.…”

Section: Discussionmentioning

confidence: 99%

“…The discriminatory value of this fibrosis index has been confirmed by some but not all investigators. 33,36,37 All models are hampered somewhat by the inherent inaccuracy of needle liver biopsies as the standard for assessing cirrhosis. The distribution of fibrosis is patchy, not uniform, and subject to sampling error, particularly in smaller and fragmented specimens.…”

Section: Discussionmentioning

confidence: 99%

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Predicting cirrhosis in patients with hepatitis C based on standard laboratory tests

Lok

Ghany

Goodman³

et al. 2005

Hepatology

300

229

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Knowledge of the presence of cirrhosis is important for the management of patients with chronic hepatitis C (CHC). Most models for predicting cirrhosis were derived from small numbers of patients and included subjective variables or laboratory tests that are not readily available. The aim of this study was to develop a predictive model of cirrhosis in patients with CHC based on standard laboratory tests. Data from 1,141 CHC patients including 429 with cirrhosis were analyzed. All biopsies were read by a panel of pathologists (blinded to clinical features), and fibrosis stage was determined by consensus. The cohort was divided into a training set (n ‫؍‬ 783) and a validation set (n ‫؍‬ 358). Variables that were significantly different between patients with and without cirrhosis in univariate analysis were entered into logistic regression models, and the performance of each model was com-

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Predicting cirrhosis in patients with hepatitis C based on standard laboratory tests

Lok

Ghany

Goodman³

et al. 2005

Hepatology

300

229

View full text Add to dashboard Cite

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Biomarkers for the prediction of liver fibrosis in patients with chronic alcoholic liver disease

Naveau

Raynard

Ratziu

et al. 2005

Clinical Gastroenterology and Hepatology

137

120

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FibroTest-FibroSURE™: towards a universal biomarker of liver fibrosis?

Poynard

Imbert‐Bismut

Munteanu

et al. 2005

Expert Review of Molecular Diagnostics

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Among the noninvasive alternatives to liver biopsy, several studies have demonstrated the predictive value and superior benefit/risk ratio to biopsy of two combinations of simple serum biochemical markers in patients infected with hepatitis B and C virus. These include FibroTest (BioPredictive) for the quantitative assessment of fibrosis, and ActiTest (BioPredictive) for the quantitative assessment of necroinflammatory activity (HCV-FibroSURE, LabCorp). The possible causes of false negatives and positives are also better identified. These tests, which are now available in 12 countries, can facilitate the screening and management of the most frequent liver diseases.

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463 Comparison of usefulness and accuracy of simple noninvasive models as predictors of cirrhosis in chronic hepatitis C (CHC)

Cited by 3 publications

References 0 publications

Predicting cirrhosis in patients with hepatitis C based on standard laboratory tests

Predicting cirrhosis in patients with hepatitis C based on standard laboratory tests

Biomarkers for the prediction of liver fibrosis in patients with chronic alcoholic liver disease

FibroTest-FibroSURE™: towards a universal biomarker of liver fibrosis?

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