Evidence map›Paper›PMID 41146518›Full record

ReviewClinical and molecular hepatology2026

Panomics in metabolic dysfunction-associated steatotic liver disease: unravelling the drivers of disease heterogeneity.

Carlos José Pirola, Silvia Sookoian

Abstract readReview
In one paragraph

Review in Clinical and molecular hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Carlos José PirolaConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Silvia SookoianConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The knowledge accumulated over the past two decades has revealed that the natural history of metabolic dysfunction-associated steatotic liver disease (MASLD) and the drivers of the disease severity are not only complex but also exhibit variation among patients. This intricate clinical scenario entails major therapeutic and management implications. In this review, we provide a comprehensive examination of recent advancements in our understanding of MASLD heterogeneity, drawing insights from multiomics and panomics studies. The discussion herein explores the instrumental role of panomics in MASLD research, elucidating the potential for the identification of molecular subtypes that exhibit divergent survival outcomes or heterogeneous responses to various treatments. Furthermore, we provide insights into the challenges in addressing disease heterogeneity and potential solutions. Finally, the most advanced technological advancements and prospective research directions in the domain of MASLD research are delineated, with the objective of facilitating the implementation of personalized diagnosis and interventions.

Indexed as

Fatty LiverHumansMultiomicsGenomicsMASHMetabolomicsOMICSProteomics

Identifiers

PMID41146518
PMCPMC12835749

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.