Evidence map›Paper›PMID 31789757›Full record

ReviewJournal of clinical gastroenterology2020

The Role of Noninvasive Tests for Differentiating NASH From NAFL and Diagnosing Advanced Fibrosis Among Patients With NAFLD.

Maya Balakrishnan, Rohit Loomba

Open access · greenAbstract readReview
In one paragraph

Review in Journal of clinical gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Clinical Application of Quantitative MR Imaging in Nonalcoholic Fatty Liver Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 2 institutions in 1 country.

Maya BalakrishnanSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX.
Rohit LoombaDepartment of Medicine, NAFLD Research Center.
Baylor College of Medicine · USLa Jolla Alcohol Research · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Yeast Genetics and Stress Response Genes-BiomedicalP42ES010337 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TUKEY, ROBERT H · 2000 to 2022
$69.8M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
NCATS NIH HHS UL1 TR001442NIDDK NIH HHS R01 DK106419NIEHS NIH HHS P42 ES010337
6 · The paper itself

Abstract

Assessing for the presence of non-alcoholic steatohepatitis (NASH) and the presence of advanced fibrosis is vital among patients with non-alcoholic fatty liver disease (NAFLD) as each is predictive of disease outcomes. A liver biopsy is the gold standard method for doing so but is impossible to perform among all patients with NAFLD. Reliable methods for noninvasively detecting for the presence of NASH and advanced fibrosis are thus a pressing need. The search for noninvasive tests has been more successful for advanced fibrosis than for NASH. Clinical prediction models and elastography have acceptable accuracy for ruling out advanced fibrosis; when used together, as in a fibrosis prediction algorithm presented in this review, it can avoid the need for liver biopsy among many patients with NAFLD. Several biomarkers for identifying the presence of NASH have been studied but none are sufficiently accurate or validated. Of those studied, the most promising include CK-18 fragments, lipodomic and metabolomics candidates, and magnetic resonance elastography with proton density fat fraction. However, none are ready for clinical use and ultimately large multicenter prospective cohort studies are needed to validate select novel biomarkers.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseBiomarkersBiopsyFibrosisHumansLiverLiver CirrhosisMulticenter Studies as TopicProspective StudiesBiomarkers

Identifiers

PMID31789757
PMCPMC7945957
OpenAlexW2990608729

What OpenQuestion holds

Textmetadata
LicenceTDM
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.