Evidence map›Paper›PMID 33062499›Full record

ArticleCureus2020

Predicting Liver Fibrosis in the Hepatitis C Population: Concordance Analysis Between Noninvasive Scoring Systems and Percutaneous Liver Biopsy.

Pradeep Kumar Mada, Matthew E Malus, Daniel Alexander Saldaña Koppel, Sharon Adley, Maureen Moore, Mohammed J Alam, Mark Feldman

Abstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. A review of historical landmarks and pioneering technologies for the diagnosis of Hepatitis C Virus (HCV).European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Review
  3. Article
  4. Article
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

7 authors.

Pradeep Kumar MadaInfectious Diseases, Louisiana State University Health Sciences Center, Shreveport, USA.
Matthew E MalusInternal Medicine, Louisiana State University Health Sciences Center, Shreveport, USA.
Daniel Alexander Saldaña KoppelInternal Medicine, Louisiana State University Health Sciences Center, Shreveport, USA.
Sharon AdleyInfectious Diseases, Louisiana State University Health Sciences Center, Shreveport, USA.
Maureen MooreInfectious Diseases, Louisiana State University Health Sciences Center, Shreveport, USA.
Mohammed J AlamInfectious Diseases, Louisiana State University Health Sciences Center, Shreveport, USA.
Mark FeldmanInternal Medicine, Texas Health Presbyterian Hospital, Dallas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Due to the slow progression of many chronic liver diseases, including hepatitis C, it is not practical or safe to monitor disease progression by serial liver biopsies. Noninvasive laboratory scoring systems based on routine laboratory tests are appealing surrogate markers of liver fibrosis for the staging and monitoring of chronic liver diseases such as hepatitis C. Methods We explored the accuracy of three scoring systems: the fibrosis-4 score (FIB-4), the aspartate aminotransferase to platelet ratio index (APRI score), and the aspartate aminotransferase to alanine aminotransferase ratio (AAR) in 496 patients with chronic hepatitis C virus (HCV) infection who had undergone percutaneous liver biopsy at a viral hepatitis clinic in Shreveport, Louisiana. Results For FIB-4, the area under the receiver operating characteristic curve (AUROC) for hepatic fibrosis stages ≥ 1, ≥ 2, ≥ 3, and 4 (cirrhosis) ranged from 0.74 (95% CI, 0.678 - 0.802) to 0.802 (95% CI, 0.751 - 0.854). At a cutoff value of 1.45, FIB-4 was 82% sensitive for advanced fibrosis or cirrhosis (stage 3 or 4) but was only 58% specific for these findings. Increasing the FIB-4 cutoff value to 3.25 reduced the sensitivity for detecting advanced fibrosis or cirrhosis to 39%, but this higher cutoff was 92% specific for these findings. Corresponding AUROCs for the APRI and AAR scores were inferior to FIB-4. Conclusion The FIB-4 index outperformed APRI and AAR in our HCV infected population in predicting severe fibrosis or cirrhosis.

Indexed as

aspartate aminotransferase-to-alanine aminotransferase ratio (aar)aspartate aminotransferase-to-platelet ratio index (apri score)fibrosis-4 (fib-4) scorehepatitis cliver biopsy

Identifiers

PMID33062499
PMCPMC7550034

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.