Evidence map›Paper›PMID 32664553›Full record

ReviewInternational journal of molecular sciences2020

Noninvasive Assessment of Liver Fibrosis: Current and Future Clinical and Molecular Perspectives.

Ryota Masuzaki, Tatsuo Kanda, Reina Sasaki, Naoki Matsumoto, Masahiro Ogawa, Shunichi Matsuoka, Seth J Karp, Mitsuhiko Moriyama

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-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

16 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. The 3Rs in Experimental Liver Disease.Animals : an open access journal from MDPI · 2023
    Review
  8. Molecular Mechanisms, Diagnosis and Treatments in Digestive Malignancy.International journal of molecular sciences · 2023
    Article
  9. RSC advances · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Evaluation of ultrasonic fibrosis diagnostic system using convolutional network for ordinal regression.International journal of computer assisted radiology and surgery · 2021
    Article
  16. 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

8 authors at 2 institutions in 2 countries.

Ryota MasuzakiDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Itabashi-Ku, Tokyo 173-8610, Japan.
Tatsuo KandaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Itabashi-Ku, Tokyo 173-8610, Japan.ORCID 0000-0002-1654-5385
Reina SasakiDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Itabashi-Ku, Tokyo 173-8610, Japan.
Naoki MatsumotoDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Itabashi-Ku, Tokyo 173-8610, Japan.
Masahiro OgawaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Itabashi-Ku, Tokyo 173-8610, Japan.ORCID 0000-0003-2154-7999
Shunichi MatsuokaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Itabashi-Ku, Tokyo 173-8610, Japan.
Seth J KarpDivision of Liver Transplantation, Department of Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Mitsuhiko MoriyamaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Itabashi-Ku, Tokyo 173-8610, Japan.
Nihon University · JPVanderbilt University Medical Center · US

Funding

Japan Society for the Promotion of Science JP20K08343
6 · The paper itself

Abstract

Liver fibrosis is one of the risk factors for hepatocellular carcinoma (HCC) development. The staging of liver fibrosis can be evaluated only via a liver biopsy, which is an invasive procedure. Noninvasive methods for the diagnosis of liver fibrosis can be divided into morphological tests such as elastography and serum biochemical tests. Transient elastography is reported to have excellent performance in the diagnosis of liver fibrosis and has been accepted as a useful tool for the prediction of HCC development and other clinical outcomes. Two-dimensional shear wave elastography is a new technique and provides a real-time stiffness image. Serum fibrosis markers have been studied based on the mechanism of fibrogenesis and fibrolysis. In the healthy liver, homeostasis of the extracellular matrix is maintained directly by enzymes called matrix metalloproteinases (MMPs) and their specific inhibitors, tissue inhibitors of metalloproteinases (TIMPs). MMPs and TIMPs could be useful serum biomarkers for liver fibrosis and promising candidates for the treatment of liver fibrosis. Further studies are required to establish liver fibrosis-specific markers based on further clinical and molecular research. In this review, we summarize noninvasive fibrosis tests and molecular mechanism of liver fibrosis in current daily clinical practice.

Indexed as

Antigens, NeoplasmBiomarkersComputer SystemsElasticity Imaging TechniquesExtracellular Matrix ProteinsFibronectinsHepatitis, Viral, HumanHumansLiver CirrhosisMagnetic Resonance ImagingMatrix MetalloproteinasesMembrane GlycoproteinsSubstrate SpecificityTissue Inhibitor of MetalloproteinasesUltrasonographyAntigens, NeoplasmBiomarkersExtracellular Matrix ProteinsFibronectinsMatrix MetalloproteinasesMembrane GlycoproteinsTAA90K protein, humanTissue Inhibitor of Metalloproteinaseselastographyextracellular matrixhepatocellular carcinomaliver fibrosismatrix metalloproteinaserisk factorserum markertissue inhibitor of metalloproteinase

Identifiers

PMID32664553
PMCPMC7402287
OpenAlexW3041069055

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.