Evidence map›Paper›PMID 41168404›Full record

ArticlePediatric research2026

Screening and diagnosis of metabolic dysfunction-associated steatotic liver disease in children within public healthcare.

Lyydia Lahtinen, Pauliina Hiltunen, Nina Vuorela, Heini Huhtala, Kalle Kurppa, Linnea Aitokari

Registry-linked trialAbstract read
In one paragraph

Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07731360 (A Non-Invasive Diagnostic Panel for MASLD in Children With Obesity), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT07731360 not yet recruitingnot on this map

A Non-Invasive Diagnostic Panel for MASLD in Children With Obesity: Evaluation of a Multiparametric Biomarker Panel and Genetic Risk Score Using LASSO-Regularized Logistic Regression - The PedMASLD-MultiOmics Pilot Study

TypeobservationalSponsorKayseri City HospitalRan2026 to 2027Enrolled180ConditionsMetabolic Dysfunction-Associated Steatotic Liver Disease, Pediatric Obesity, Insulin Resistance SyndromeArmsNon-Invasive Multi-Parameter Diagnostic Panel
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A Bedside Score for MASLD in Adolescents with Obesity.Indian journal of pediatrics · 2026
    Article
  5. Article
  6. Article
  7. 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

6 authors.

Lyydia LahtinenTampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Pauliina HiltunenTampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Nina VuorelaTampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Heini HuhtalaFaculty of Social Sciences, Tampere University, Tampere, Finland.
Kalle KurppaTampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Linnea AitokariTampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. linnea.aarela@tuni.fi.ORCID http://orcid.org/0000-0003-4627-7892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) has increased rapidly. NASPGHAN recommends screening children at risk for MASLD, but its implementation remains unclear. We explored the implementation of screening in healthcare.

methodsData were collected from 908 children (median 11.4 years, 42.7% girls) investigated for overweight/obesity. Emphasis was placed on screening methods, diagnosis and potential secular changes. The diagnosis was confirmed retrospectively using novel criteria.

resultsInvestigations included measuring alanine aminotransferase (ALT) in 83.1%, ultrasonography in 9.1%, and no screening in 16.5%. Screening was conducted in 86.2% of children meeting the recommendations, but 69.3% of those not eligible, mostly due to young age, were also screened. Screening was more frequent in tertiary care. Overall, 87.9% were tested for metabolic comorbidities and 80.9% underwent differential diagnostics, with 5.7% having other liver-affecting diseases/medications. ALT testing increased in tertiary care from 81.9% in 2002-2011 to 91.4% in 2012-2020 (p < 0.001), and exclusion of liver-affecting conditions improved in both tertiary (79.6% vs. 87.4%, p = 0.017) and primary care (61.5% vs. 84.6%, p < 0.001). MASLD was diagnosed clinically in 7.4%, while 14.5% met the criteria retrospectively.

conclusionsMASLD screening practices are mostly aligned with the recommendations. However, many patients remain unrecognized, underscoring the need for better guidelines. IMPACT: In a large cohort of 3-17-year-old children investigated in healthcare due to obesity, implementation of MASLD screening largely aligned with current recommendations supporting general acceptance of screening. Screening was conducted in 86.2% of children meeting the NASPGHAN screening recommendations, while 87.9% were also tested for metabolic comorbidities, and 80.9% underwent differential diagnostics. MASLD was diagnosed clinically in 7.4%, while 14.5% met the criteria retrospectively, suggesting possible underdiagnosis. Compared to NASPGHAN guidelines, screening appeared excessive among younger children. Nevertheless, MASLD was also prevalent in this age group, indicating a need for further research to determine optimal age thresholds.

Indexed as

Fatty LiverMass ScreeningMetabolic DiseasesAdolescentAlanine TransaminaseChildChild, PreschoolFemaleHumansMaleRetrospective StudiesRisk FactorsUltrasonographyAlanine Transaminase

Identifiers

PMID41168404
PMCPMC13524811

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Registered trials

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.