Evidence map›Paper›PMID 29686467›Full record

ReviewWorld journal of gastroenterology2018

Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity.

Carlos J Pirola, Silvia Sookoian

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

  1. Pooled it
  2. Article
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  5. Article
  6. Personalized medicine in nonalcoholic fatty liver disease.Clinical and molecular hepatology · 2022
    Article
  7. [Application of TG/HDL-C Combined with Liver Function Indexes to Predict Metabolic-Associated Fatty Liver Disease].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
    Article
  8. Article
  9. Review
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  12. Review
  13. Frontiers in nutrition · 2022
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
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  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.

Carlos J PirolaDepartment of Genetics and Molecular Biology of Complex Diseases. University of Buenos Aires, Institute of Medical Research A Lanari, Buenos Aires, Argentina, National Scientific and Technical Research Council-University of Buenos Aires. Institute of Medical Research (IDIM), CABA 1427, Argentina.
Silvia SookoianClinical and Molecular Hepatology, University of Buenos Aires, Institute of Medical Research A Lanari, Buenos Aires, Argentina, National Scientific and Technical Research Council-University of Buenos Aires. Institute of Medical Research (IDIM), CABA 1427, Argentina. sookoian.silvia@lanari.fmed.uba.ar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review intends to uncover how information from large-scale genetic profiling (whole genome sequencing, and whole exome sequencing) of nonalcoholic fatty liver disease (NAFLD), as well as information from circulating transcriptomics (cell-free miRNAs) and metabolomics, contributes to the understanding of NAFLD pathogenesis. A further aim is to address the question of whether OMICs information is ready to be implemented in the clinics. The available evidence suggests that any new knowledge pertaining to molecular signatures associated with NAFLD and nonalcoholic steatohepatitis should be promptly translated into the clinical setting. Nevertheless, rigorous steps that must include validation and replication are mandatory before utilizing OMICs biomarkers in diagnostics to identify patients at risk of advanced disease, including liver cancer.

Indexed as

BiomarkersBiopsyCirculating MicroRNADisease ProgressionExome SequencingHumansLiverMetabolomicsNon-alcoholic Fatty Liver DiseaseRisk FactorsSeverity of Illness IndexBiomarkersCirculating MicroRNAFibrosisGeneticsLiver biopsyMetabolomicsmiR122Nonalcoholic fatty liver diseaseNonalcoholic steatohepatitisPNPLA3ProteomicsTM6SF2Transcriptomics

Identifiers

PMID29686467
PMCPMC5910543

What OpenQuestion holds

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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.