Evidence map›Paper›PMID 23592832›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2013

Noninvasive serum fibrosis markers for screening and staging chronic hepatitis C virus patients in a large US cohort.

Scott D Holmberg, Mei Lu, Loralee B Rupp, Lois E Lamerato, Anne C Moorman, Vinutha Vijayadeva, Joseph A Boscarino, Emily M Henkle, Stuart C Gordon, Chronic Hepatitis Cohort Study (CHeCS) Investigators

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
    Review
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  8. Diagnosis of HDV: From virology to non-invasive markers of fibrosis.Liver international : official journal of the International Association for the Study of the Liver · 2023
    Review
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Scott D HolmbergDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. sdh1@cdc.gov
Mei Lu
Loralee B Rupp
Lois E Lamerato
Anne C Moorman
Vinutha Vijayadeva
Joseph A Boscarino
Emily M Henkle
Stuart C Gordon
Chronic Hepatitis Cohort Study (CHeCS) Investigators
Centers for Disease Control and Prevention · USHenry Ford Health System · USKaiser Permanente Center for Health Research · USThe Coordinating Center · USGeisinger Health System · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundLiver biopsy remains critical for staging liver disease in hepatitis C virus (HCV)-infected persons, but is a bottleneck to evaluation, follow-up, and treatment of HCV. Our analysis sought to validate APRI (aspartate aminotransferase [AST]-to-platelet ratio index) and FIB-4, an index from serum fibrosis markers (alanine aminotransferase [ALT], AST, and platelets plus patient age) to stage liver disease.

methodsBiopsy results from HCV patients in the Chronic Hepatitis Cohort Study were mapped to an F0-F4 equivalent scale; APRI and FIB-4 scores at the time of biopsy were then mapped to the same scale.

resultsWe identified 2372 liver biopsies from HCV-infected patients with contemporaneous laboratory values for imputing APRI and FIB-4. Fibrosis stage distributions by the equivalent biopsy scale were 267 (11%) F0; 555 (23%) F1; 648 (27%) F2; 394 (17%) F3; and 508 (21%) F4. Mean APRI and FIB-4 values significantly increased with successive fibrosis levels (P < .05). The areas under the receiver operating characteristic curve (AUROC) analysis distinguishing severe (F3-F4) from mild-to-moderate fibrosis (F0-F2) were 0.80 (95% confidence interval [CI], .78-.82) for APRI and 0.83 (95% CI, .81-.85) for FIB-4. There was a significant difference between the AUROCs of FIB-4 and APRI (P < .001); 88% of persons who had a FIB-4 score ≥2.0 were at stage F2 or higher.

conclusionsIn a large observational cohort, FIB-4 was good at differentiating 5 stages of chronic HCV infection. It can be useful in screening patients who need biopsy and therapy, for monitoring patients with less advanced disease, and for longitudinal studies.

Indexed as

AdolescentAdultAgedAlanine TransaminaseAspartate AminotransferasesBiomarkersBiopsyClinical Laboratory TechniquesFemaleHepatitis C, ChronicHumansLiver CirrhosisMass ScreeningMiddle AgedPlatelet CountSerumAlanine TransaminaseAspartate AminotransferasesBiomarkerschronic hepatitisclinical staginghepatitis C virus

Identifiers

PMID23592832
PMCPMC5672918
OpenAlexW2149669030

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.