Evidence map›Paper›PMID 40474897›Full record

ArticleFrontiers in nutrition2025

Assessment of the diagnostic efficacy of five non-invasive tests for MASLD: external validation utilizing data from two cohorts.

Haoxuan Zou, Wen Pan, Xiaobin Sun

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Environmental Endocrine-Disrupting Chemicals and Metabolic Dysfunction-Associated Steatotic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Pooled it
  2. Review
  3. Liver fibrosis risk: a silent threat in type 1 diabetes mellitus.Journal of endocrinological investigation · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Nano-Enhanced Diets: Advancing Metabolic Dysfunction-Related Steatotic Liver Disease (MASLD) - A Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
  9. 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

3 authors.

Haoxuan ZouDepartment of Gastroenterology and Hepatology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Wen PanDepartment of Health Management Center, The Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, Sichuan, China.
Xiaobin SunDepartment of Gastroenterology and Hepatology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous non-invasive tests (NITs) have been developed for non-alcoholic fatty liver disease (NAFLD) over the past few decades. However, their applicability to metabolic-associated steatotic liver disease (MASLD), as redefined and renamed by the recent Delphi Consensus Statement, necessitates further investigation. Consequently, this study aims to systematically evaluate the diagnostic efficacy of five clinically utilized NITs (FLI/FSI/ZJU/LAP/HSI) in assessing the risk of MASLD. Methods: The participants for this study were sourced from the Health Management Center at the Hospital of Chengdu Office of the Tibetan Autonomous Region, as well as from the National Health and Nutrition Examination Survey (NHANES) 2017-2020.3 cycle. The diagnostic efficacy of NITs was thoroughly evaluated and compared via methods such as the area under the curve (AUC), subgroup AUC, and clinical utility. Results: This study incorporated a total of 2,187 participants from the Health Management Center cohort and 5,524 participants from the NHANES cohort. In both cohorts, the FLI, FSI, LAP, ZJU, and HSI performed well in identifying those at high risk for MASLD. This effectiveness was consistently observed across various subgroups, including those defined by age, sex, race, overweight, hypertension, and diabetes status. Specifically, within the NHANES cohort, the FSI and FLI emerged as superior predictors of MASLD risk, with AUC values of 0.836 (95% CI: 0.826-0.847) and 0.835 (95% CI: 0.825-0.845), respectively. The difference in the AUC between these two NITs was not statistically significant ( Conclusion: Overall, the FLI, FSI, ZJU, LAP, and HSI continue to demonstrate significant diagnostic value, even when they are applied to the newly designated MASLD and are suitable for screening in high-risk populations.

Indexed as

AUCDCAIDIMASLDNITsNRI

Identifiers

PMID40474897
PMCPMC12137091

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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.