Evidence map›Paper›PMID 42562881›Full record

ReviewDiabetologia2026

Screening and diagnosis of liver disease in diabetes: a guide and evidence-based assessment.

Sami F Qadri

Abstract readReview
In one paragraph

Review in Diabetologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Sami F QadriDepartment of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. sami.qadri@helsinki.fi.ORCID http://orcid.org/0000-0001-9313-9324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most people with type 2 diabetes have metabolic dysfunction-associated steatotic liver disease (MASLD), yet fewer than 2% experience major adverse liver outcomes within 10 years. Because progression to end-stage liver disease is uncommon, identifying the small subset of individuals at highest risk remains a central clinical challenge. Liver fibrosis is the strongest prognostic determinant in MASLD, and a range of blood-based and imaging tests are used to assess the likelihood of advanced fibrosis (AF) in the clinic. Since 2023, major medical societies have recommended systematic screening for MASLD-related AF in individuals with type 2 diabetes, driven by reports suggesting a high prevalence of up to 20-40%. This review critically examines the evidence underlying these recommendations while providing a clinically oriented guide to diagnosing MASLD in type 2 diabetes. Re-analysis of data from prevalence studies suggests that the burden of AF in type 2 diabetes has been substantially overestimated and may be below 5-10%, which has profound implications for both the rationale for screening and its expected yield. Simulations and emerging real-world evidence suggest that current non-invasive tests may refer 30-50% of patients for costly second-line testing and 15% for specialist evaluation, while generating high false-positive rates and missing more than a third of all AF cases. Moreover, it remains uncertain whether diagnosing AF in type 2 diabetes currently leads to meaningful changes in management or outcomes. Existing cost-effectiveness analyses rely on assumptions about disease burden and therapeutic benefit that are not supported by available data. Together, these considerations call for a more rigorous, evidence-based approach to evaluating liver disease risk in type 2 diabetes and other populations.

Indexed as

Diabetes Mellitus, Type 2Fatty LiverLiver DiseasesEvidence-Based MedicineHumansLiver CirrhosisMass ScreeningPrevalenceBayesian analysisBiomarkersCost-effectivenessDiagnosisFatty liverFibrosisMetabolic dysfunction-associated steatotic liver diseasePrevalenceReviewScreeningType 2 diabetes

Identifiers

PMID42562881
PMCPMC13627240

What OpenQuestion holds

Textmetadata
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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.