Evidence map›Paper›PMID 39315409›Full record

ArticleObesity (Silver Spring, Md.)2024

Obesity increases the risk of hepatic fibrosis in young adults with type 2 diabetes mellitus: the need to screen.

Anu Sharma, Eddison Godina Leiva, Srilaxmi Kalavalapalli, Romina Lomonaco, Stephen A Marangi, Enrique Valdez Saenz, Maria A Gonzalez, Andrea Ortiz Rocha, Nathaly Cuervo Pardo, Jens Rosenberg and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2024. 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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  11. Fat, fibrosis, and the future: navigating the maze of MASLD/MASH.The Journal of clinical investigation · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Anu SharmaDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-0435-2201
Eddison Godina LeivaDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Srilaxmi KalavalapalliDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Romina LomonacoDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Stephen A MarangiDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Enrique Valdez SaenzDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Maria A GonzalezDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Andrea Ortiz RochaDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Nathaly Cuervo PardoDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Jens RosenbergAdvanced Magnetic Resonance Imaging and Spectroscopy Facility, McKnight Brain Institute, University of Florida, Gainesville, Florida, USA.
Pierre BedossaDepartment of Pathology, Hôpital Beaujon AP-HP, Clichy, France.
Fernando BrilDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Diana BarbDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.
Kenneth CusiDivision of Endocrinology, Diabetes and Metabolism, University of Florida College of Medicine, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-8629-418X

Funding

Role of Screening and Early Intervention in Primary Care with Low-Dose Pioglitazone for Patients with T2DM and NASHR01DK120331 · NIDDK · UNIVERSITY OF FLORIDA · PI CUSI, KENNETH · 2020 to 2023
$2.3M
EchosensNIDDK NIH HHS R01 DK120331NIH HHS DK-120331
6 · The paper itself

Abstract

objectiveThe objective of this study was to determine the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) in young compared with older adults.

methodsIndividuals (n = 1420) with (63%) and without type 2 diabetes mellitus (T2D; 37%) who attended internal medicine clinics and did not have a known history of MASLD underwent laboratory evaluation and transient elastography to assess for hepatic steatosis and fibrosis. Magnetic resonance elastography and liver biopsy were recommended when indicated.

resultsA total of 243 participants were ages <45 years, and 1177 were ages ≥45 years. Obesity, T2D, and metabolic syndrome were highly prevalent in young adults. Frequencies of steatosis and fibrosis were high in young adults (50.2% and 7.5% vs. older adults 52.7% and 9.9%, respectively) and were significantly higher in those with both obesity and T2D (71.1% and 15.7%, respectively; p < 0.01). In young adults, T2D and obesity were the strongest risk factors for hepatic fibrosis (odds ratios 4.33 [95% CI: 1.37-13.68] and 1.16 [95% CI: 1.07-1.25], respectively; p < 0.05).

conclusionsThere is a high prevalence of clinically significant hepatic fibrosis in young adults with cardiometabolic risk factors. Up to one in seven young adults with obesity and T2D had clinically significant hepatic fibrosis on elastography. This highlights the need to screen young adults with cardiometabolic risk factors for MASLD for early detection and intervention.

Indexed as

Diabetes Mellitus, Type 2Elasticity Imaging TechniquesLiver CirrhosisMetabolic SyndromeObesityAdultAgedFatty LiverFemaleHumansLiverMaleMass ScreeningMiddle AgedPrevalenceRisk Factors

Identifiers

PMID39315409
PMCPMC12308620

What OpenQuestion holds

Textmetadata
LicenceTDM
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.