Evidence map›Paper›PMID 40260419›Full record

ArticleNpj gut and liver2025

Scores to predict steatotic liver disease - correlates and outcomes in older adults.

Daniel Clayton-Chubb, Isabella Commins, Stuart K Roberts, Ammar Majeed, Robyn L Woods, Joanne Ryan, Hans G Schneider, John S Lubel, Alexander D Hodge, John J McNeil and 1 more

Abstract read
In one paragraph

Article in Npj gut and liver, 2025. 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. Review
  2. Article
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  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

11 authors.

Daniel Clayton-Chubb *Department of Gastroenterology, Alfred Health, Melbourne, VIC Australia.
Isabella Commins *Department of Gastroenterology, Alfred Health, Melbourne, VIC Australia.
Stuart K RobertsDepartment of Gastroenterology, Alfred Health, Melbourne, VIC Australia.
Ammar MajeedDepartment of Gastroenterology, Alfred Health, Melbourne, VIC Australia.
Robyn L WoodsSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC Australia.
Joanne RyanSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC Australia.
Hans G SchneiderSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC Australia.
John S LubelDepartment of Gastroenterology, Alfred Health, Melbourne, VIC Australia.
Alexander D HodgeDepartment of Gastroenterology, Eastern Health, Melbourne, VIC Australia.
John J McNeilSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC Australia.
William W KempDepartment of Gastroenterology, Alfred Health, Melbourne, VIC Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a significant cause of chronic liver disease globally, and the rising prevalence of MASLD is occurring in parallel with the global aging population. The use of non-invasive biomarker tools to rule-in or rule-out hepatic steatosis is important in large epidemiological studies in this field. While the Fatty Liver Index (FLI) is the best validated tool in older adults, not all studies will have the necessary parameters for steatosis identification. This retrospective post-hoc analysis of the ASPirin in Reducing Events in the Elderly (ASPREE) study involved 16,703 Australian adults aged ≥70 years. Using the FLI as the 'gold standard' index, we evaluated the correlation with other indices: the Dallas Steatosis Index (DSI), Framingham Steatosis Index, ZJU index (ZJU), Hepatic Steatosis Index (HSI), Lipid Accumulation Product (LAP), and Visceral Adiposity Index (VAI), as well as age- and sex-adjusted outcome measures including mortality, major adverse cardiovascular events (MACE), atrial fibrillation (AF), and persistent physical disability. Of the non-FLI indices, the DSI and FSI had the highest percentage of participants correctly classified as having MASLD (97.7% and 93.8% respectively). The FSI, LAP, and VAI were associated with MACE. The FSI and FLI were predictive of incident AF. The FLI, DSI, FSI, LAP and VAI were associated with physical disability. No MASLD score was associated with increased mortality. Indeed, MASLD defined by the ZJU and HSI were both inversely associated with mortality. As such, we've demonstrated that the FSI and DSI are the most accurate scores for identifying MASLD in older adults when compared to the FLI as the gold standard. The FSI is associated with MACE, AF, and persistent physical disability, lending support to its use in identifying older persons with MASLD when the FLI is unable to be calculated.

Indexed as

DiagnosisLiverLiver diseasesPredictive markers

Identifiers

PMID40260419
PMCPMC12009214

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Registered trials

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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.