ArticleWorld journal of hepatology2018
Proton nuclear magnetic resonance-based metabonomic models for non-invasive diagnosis of liver fibrosis in chronic hepatitis C: Optimizing the classification of intermediate fibrosis.
Article in World journal of hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- PlasmaHepatology forum · 2026Article
- Targeted metabolomic analysis of exhaled breath condensate before and after bronchial provocation by eucapnic voluntary hyperventilation in adolescents with asthma: an exploratory study.Respiratory research & clinical practice · 2026Article
- Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine.Scientific reports · 2025Article
- Metabolomics in viral hepatitis: advances and review.Frontiers in cellular and infection microbiology · 2023Review
- Assessment of periportal fibrosis inWorld journal of hepatology · 2022Article
- [Visualization analysis of liver fibrosis diagnosis based on Citespace software].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021Article
- Inhibitory Effect of Dihydroartemisinin on the Proliferation and Migration of Melanoma Cells and Experimental Lung Metastasis From Melanoma in Mice.Frontiers in pharmacology · 2021Article
- Metabolomic and Lipidomic Biomarkers for Premalignant Liver Disease Diagnosis and Therapy.Metabolites · 2020Review
- Osteopenia-osteoporosis discrimination in postmenopausal women by 1H NMR-based metabonomics.PloS one · 2019Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo develop metabonomic models (MMs), using
methodsSixty-nine patients who had undergone biopsy in the previous 12 mo or had clinical cirrhosis were included. The presence of any other liver disease was a criterion for exclusion. The MMs, constructed using partial least squares discriminant analysis and linear discriminant analysis formalisms, were tested by cross-validation, considering SF, AF and C.
resultsResults showed that forty-two patients (61%) presented SF, 28 (40%) AF and 18 (26%) C. The MMs showed sensitivity and specificity of 97.6% and 92.6% to predict SF; 96.4% and 95.1% to predict AF; and 100% and 98.0% to predict C. Besides that, the MMs correctly classified all 27 (39.7%) and 25 (38.8%) patients with intermediate values of APRI and FIB-4, respectively.
conclusionThe metabonomic strategy performed excellently in predicting significant and advanced liver fibrosis in CHC patients, including those in the gray zone of APRI and FIB-4, which may contribute to reducing the need for these patients to undergo liver biopsy.
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Registered trials
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