Evidence map›Paper›PMID 32518428›Full record

ReviewThe Clinical biochemist. Reviews2020

Serum Marker Panels for Predicting Liver Fibrosis - An Update.

John Joseph

Abstract readReview
In one paragraph

Review in The Clinical biochemist. Reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Noninvasive Fibrosis Assessment in Chronic Hepatitis C Infection: An Update.Journal of clinical and translational hepatology · 2023
    Review
  13. Article
  14. Review
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

1 author.

John JosephDept of Clinical Biochemistry, PathWest Laboratory Medicine, QEII Medical Centre, Nedlands, WA 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis prediction is an essential part of the assessment and management of patients with chronic liver disease. Traditionally the gold standard for assessment of fibrosis is liver biopsy, but it suffers from various limitations including risk of patient injury and sampling error. As a result, noninvasive tests of hepatic fibrosis have been used in patients with chronic liver disease due to conditions such as hepatitis B and C, and alcoholic and non-alcoholic fatty liver disease. With the advent of new direct-acting antivirals, hepatic fibrosis staging is an important component of treatment decisions in the care of patients with chronic hepatitis C virus infection. Current limitations of the noninvasive biomarker models include a significant indeterminate range, and a predictive ability that is limited to only a few stages of fibrosis. However newer technologies and novel proteins identified by proteomics and genomics offer the possibility for further refinement and individualisation of biomarker fibrosis models in the future.

Identifiers

PMID32518428
PMCPMC7255312

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.