Evidence map›Paper›PMID 41987810›Full record

ReviewInternational journal of general medicine2026

Non-Invasive Tests for the Detection of MASLD: Biomarkers and Imaging for Staging Steatosis, MASH, and Fibrosis.

Li Wang, Yajie Wang

Abstract readReview
In one paragraph

Review in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The menopause-obesity axis in MASH progression: from estrogen decline to liver fibrosis.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026
    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.

Li WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Key Laboratory of Viral Infectious Diseases, Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Yajie WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Key Laboratory of Viral Infectious Diseases, Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-3285-2537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) has become the predominant cause of liver diseases, with a rising incidence globally, has gained considerable attention. As a heterogeneous disease, it imposes a significant economic burden on society and can progress to severe outcomes like cirrhosis, hepatocellular carcinoma (HCC) and even death. However, awareness, attention, and early intervention for MASLD are lacking, as the disease often starts insidiously and remains asymptomatic in its initial stages. The traditional diagnostic approaches, including liver biopsy and routine laboratory tests, are limited by their invasiveness, acceptance, and specificity. Similarly, imaging methods struggle with high costs and insufficient sensitivity. Early diagnosis and management of MASLD are critical to preventing the onset and decelerating the progression of liver fibrosis, thereby improving liver health. These challenges have prompted considerable efforts to develop non-invasive tests for diagnosing and managing MASLD. Using serum alone or in combination with imaging technology has the potential to improve early diagnostic accuracy, allowing clinicians to better assess and classify the disease. This article offers a comprehensive overview of the current state of non-invasive assessments for MASLD, discussing their applicability and exploring their potential in diagnosing and staging steatosis, MASH, and fibrosis, thereby enhancing patient management and care.

Indexed as

diagnosisfibrosisMASHMASLDnon-invasive assessment

Identifiers

PMID41987810
PMCPMC13077465

What OpenQuestion holds

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LicenceCC BY-NC
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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.