Evidence map›Paper›PMID 38681130›Full record

ReviewWorld journal of gastroenterology2024

Omics-based biomarkers as useful tools in metabolic dysfunction-associated steatotic liver disease clinical practice: How far are we?

Julieta Trinks, María F Mascardi, Adrián Gadano, Sebastián Marciano

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

4 authors.

Julieta TrinksInstituto de Medicina Traslacional e Ingeniería Biomédica - Consejo Nacional de Investigaciones Científicas y Técnicas - Instituto Universitario del Hospital Italiano - Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires C1199ACL, Argentina.
María F MascardiInstituto de Medicina Traslacional e Ingeniería Biomédica - Consejo Nacional de Investigaciones Científicas y Técnicas - Instituto Universitario del Hospital Italiano - Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires C1199ACL, Argentina.
Adrián GadanoLiver Unit, Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires C1199DF, Argentina.
Sebastián MarcianoInstituto de Medicina Traslacional e Ingeniería Biomédica - Consejo Nacional de Investigaciones Científicas y Técnicas - Instituto Universitario del Hospital Italiano - Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires C1199ACL, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unmet needs exist in metabolic dysfunction-associated steatotic liver disease (MASLD) risk stratification. Our ability to identify patients with MASLD with advanced fibrosis and at higher risk for adverse outcomes is still limited. Incorporating novel biomarkers could represent a meaningful improvement to current risk predictors. With this aim, omics technologies have revolutionized the process of MASLD biomarker discovery over the past decades. While the research in this field is thriving, much of the publication has been haphazard, often using single-omics data and specimen sets of convenience, with many identified candidate biomarkers but lacking clinical validation and utility. If we incorporate these biomarkers to direct patients' management, it should be considered that the roadmap for translating a newly discovered omics-based signature to an actual, analytically valid test useful in MASLD clinical practice is rigorous and, therefore, not easily accomplished. This article presents an overview of this area's current state, the conceivable opportunities and challenges of omics-based laboratory diagnostics, and a roadmap for improving MASLD biomarker research.

Indexed as

BiomarkersMetabolomicsGenomicsHumansLiverLiver CirrhosisNon-alcoholic Fatty Liver DiseaseProteomicsRisk AssessmentBiomarkersBiomarkerMetabolic dysfunction-associated steatotic liver diseaseNon-alcoholic steatohepatitisOmicsRisk stratification

Identifiers

PMID38681130
PMCPMC11045490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.