Evidence map›Paper›PMID 42145432›Full record

ArticleBioinformation2026

FibroScan grading and metabolic correlates of fatty liver disease.

Hemant Kumar Jain, Jitendra Kanjolia, Aparna Mittal, Shivani Parihar

Abstract read
In one paragraph

Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hemant Kumar JainDepartment of General Medicine, Government Medical College, Datia, Madhya Pradesh, India.
Jitendra KanjoliaDepartment of General Medicine, Government Medical College, Datia, Madhya Pradesh, India.
Aparna MittalDepartment of General Medicine, Government Medical College, Datia, Madhya Pradesh, India.
Shivani PariharDepartment of Pathology, Chirayu Medical College, Bhopal, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty liver disease is increasingly recognized as a hepatic manifestation of systemic metabolic dysfunction. This cross-sectional study, conducted among 165 adult patients with ultrasonographic evidence of fatty liver disease, evaluated metabolic risk factors and liver involvement using FibroScan for steatosis grading and liver stiffness measurement. The results revealed a high prevalence of metabolic syndrome, insulin resistance, dysglycemia and atherogenic dyslipidemia among participants, with moderate to severe hepatic steatosis being common. FibroScan grades showed a significant association between higher steatosis levels and worsening metabolic profiles, including body composition, glycemic parameters and insulin resistance. Thus, we show FibroScan as a valuable non-invasive tool for identifying patients at increased metabolic and hepatic risk, allowing for early risk stratification and management.

Indexed as

controlled attenuation parameterFatty liver diseaseFibroScaninsulin resistanceliver fibrosismetabolic syndrome

Identifiers

PMID42145432
PMCPMC13177112

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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.