Evidence map›Paper›PMID 37274774›Full record

ArticleJHEP reports : innovation in hepatology2023

Prevalence, risk factors and diagnostic accuracy of non-invasive tests for NAFLD in people with type 1 diabetes.

Jonathan Mertens, Jonas Weyler, Eveline Dirinck, Luisa Vonghia, Wilhelmus J Kwanten, Laura Mortelmans, Cedric Peleman, Shivani Chotkoe, Maarten Spinhoven, Floris Vanhevel and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Liver fibrosis risk: a silent threat in type 1 diabetes mellitus.Journal of endocrinological investigation · 2026
    Article
  3. Metabolic dysfunction and the use of adjunct medications in type 1 diabetes.Current opinion in endocrinology, diabetes, and obesity · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Towards precision medicine in non-alcoholic fatty liver disease.Reviews in endocrine & metabolic disorders · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Jonathan MertensDepartment of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium.
Jonas WeylerLaboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium.
Eveline DirinckDepartment of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium.
Luisa VonghiaLaboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium.
Wilhelmus J KwantenLaboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium.
Laura MortelmansDepartment of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium.
Cedric PelemanLaboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium.
Shivani ChotkoeLaboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium.
Maarten SpinhovenDepartment of Radiology, Antwerp University Hospital, Antwerp, Belgium.
Floris VanhevelDepartment of Radiology, Antwerp University Hospital, Antwerp, Belgium.
Luc F Van GaalDepartment of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium.
Benedicte Y De WinterLaboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium.
Christophe E M De BlockDepartment of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium.
Sven M FrancqueLaboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium.
University of Antwerp · BEAntwerp University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: The epidemiology of non-alcoholic fatty liver disease (NAFLD) in people with type 1 diabetes (T1D) is not yet elucidated. This study aimed to assess the diagnostic accuracy of non-invasive tests for NAFLD, to investigate the prevalence and severity of NAFLD, and to search for factors contributing to NAFLD in people with T1D. Methods: In this prospective cohort study, we consecutively screened 530 adults with T1D from a tertiary care hospital, using ultrasound (US), vibration-controlled transient elastography equipped with liver stiffness measurement (LSM) and controlled attenuation parameter, and the fatty liver index. Magnetic resonance spectroscopy (MRS) was performed in a representative subgroup of 132 individuals to validate the diagnostic accuracy of the non-invasive tests. Results: Based on MRS as reference standard, US identified individuals with NAFLD with an AUROC of 0.98 (95% CI 0.95-1.00, sensitivity: 1.00, specificity: 0.96). The controlled attenuation parameter was also accurate with an AUROC of 0.85 (95% CI 0.77-0.93). Youden cut-off was ≥270 dB/m (sensitivity: 0.90, specificity: 0.74). The fatty liver index yielded a similar AUROC of 0.83 (95% CI 0.74-0.91), but the conventional cut-off used to rule in (≥60) had low sensitivity and specificity (0.62, 0.78). The prevalence of NAFLD in the overall cohort was 16.2% based on US. Metabolic syndrome was associated with NAFLD (OR: 2.35 [1.08-5.12], Conclusions: NAFLD prevalence in individuals with T1D is 16.2%, with approximately one in 10 featuring elevated LSM. US-based screening could be considered in people with T1D and metabolic syndrome. Impact and Implications: We aimed to report on the prevalence, disease severity, and risk factors of NAFLD in type 1 diabetes (T1D), while also tackling which non-invasive test for NAFLD is the most accurate. We found that ultrasound is the best test to diagnose NAFLD. NAFLD prevalence is 16.2%, and is associated with metabolic syndrome and BMI. Elevated liver stiffness indicating fibrosis is overall not prevalent in people with T1D (3.8%), but it reaches 13.2% in those with T1D and NAFLD.

Indexed as

Liver fibrosisMetabolic syndromeMRINAFLDTransient elastographyType 1 diabetes mellitus

Identifiers

PMID37274774
PMCPMC10232726
OpenAlexW4362699996

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.