Evidence map›Paper›PMID 22214245›Full record

ArticleFibrogenesis & tissue repair2012

Genomics and proteomics in liver fibrosis and cirrhosis.

Rebekka A Hannivoort, Virginia Hernandez-Gea, Scott L Friedman

Open access · hybridAbstract read
In one paragraph

Article in Fibrogenesis & tissue repair, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Pharmacotherapy of Liver Fibrosis and Hepatitis: Recent Advances.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Article
  5. p53 and Myofibroblast Apoptosis in Organ Fibrosis.International journal of molecular sciences · 2023
    Review
  6. Impact ofViruses · 2021
    Article
  7. Novel approaches to liver disease diagnosis and modeling.Translational gastroenterology and hepatology · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Protein-protein interaction network analysis of cirrhosis liver disease.Gastroenterology and hepatology from bed to bench · 2016
    Article
  15. Apoptosis and angiogenesis: an evolving mechanism for fibrosis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2013
    Review
  16. Review
  17. Article
  18. 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

3 authors at 1 institution in 2 countries.

Rebekka A HannivoortDepartment of Medicine/Division of Liver Diseases, Mount Sinai School of Medicine, New York, NY 10029, USA. scott.friedman@mssm.edu.
Virginia Hernandez-Gea
Scott L Friedman
Icahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics and proteomics have become increasingly important in biomedical science in the past decade, as they provide an opportunity for hypothesis-free experiments that can yield major insights not previously foreseen when scientific and clinical questions are based only on hypothesis-driven approaches. Use of these tools, therefore, opens new avenues for uncovering physiological and pathological pathways. Liver fibrosis is a complex disease provoked by a range of chronic injuries to the liver, among which are viral hepatitis, (non-) alcoholic steatohepatitis and autoimmune disorders. Some chronic liver patients will never develop fibrosis or cirrhosis, whereas others rapidly progress towards cirrhosis in a few years. This variety can be caused by disease-related factors (for example, viral genotype) or host-factors (genetic/epigenetic). It is vital to establish accurate tools to identify those patients at highest risk for disease severity or progression in order to determine who are in need of immediate therapies. Moreover, there is an urgent imperative to identify non-invasive markers that can accurately distinguish mild and intermediate stages of fibrosis. Ideally, biomarkers can be used to predict disease progression and treatment response, but these studies will take many years due to the requirement for lengthy follow-up periods to assess outcomes. Current genomic and proteomic research provides many candidate biomarkers, but independent validation of these biomarkers is lacking, and reproducibility is still a key concern. Thus, great opportunities and challenges lie ahead in the field of genomics and proteomics, which, if successful, could transform the diagnosis and treatment of chronic fibrosing liver diseases.

Identifiers

PMID22214245
PMCPMC3260086
OpenAlexW2115006998

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.