Evidence map›Paper›PMID 42387503›Full record

ArticleCardiovascular diabetology2026

Opportunistic screening for incident cardiometabolic disease in metabolically healthy non-obese individuals: a prospective cohort study.

Balázs Bogner, Matthias Jung, Marco Reisert, Juliane Maushagen, Susanne Rospleszcz, Thomas Kroencke, Tobias Pischon, Jeanette Schulz-Menger, Thoralf Niendorf, Henry Völzke and 4 more

Abstract read
In one paragraph

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

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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

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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

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

14 authors.

Balázs BognerDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
Matthias JungDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
Marco ReisertDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106, Freiburg, Germany.
Juliane MaushagenDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
Susanne RospleszczDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
Thomas KroenckeDepartment of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
Tobias PischonBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Jeanette Schulz-MengerECRC Experimental and Clinical Research Center, Corporate Member of Freie Universität Berlin Und Humbolt-Universität Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Thoralf NiendorfBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Christopher L SchlettDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
Fabian BambergDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
Jana TaronDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
Jakob WeissDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany. jakob.weiss@uniklinik-freiburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolically healthy non-obese (MHN) individuals are considered at low cardiometabolic risk, yet a subset may harbor unfavorable visceral adiposity not captured by conventional anthropometric measures, including waist circumference (WC) and BMI.

methodsWe conducted a prospective cohort study of 22,040 UK Biobank participants (median follow-up 4.2 years [interquartile range 3.4-5.6]) defined as MHN (BMI < 30 kg/m

resultsThe VAT/SAT ratio improved risk classification over WC for MACE (NRI 0.088, 95%CI 0.019-0.158, p = 0.013) and diabetes (NRI 0.102, 95% CI 0.024-0.181, p = 0.010). High VAT/SAT ratio independently predicted MACE (adjusted hazard ratio [aHR] 1.30, 95%CI 1.02-1.66, p = 0.037) and diabetes (aHR 1.77, 95% CI 1.34-2.33, p < 0.001) after full adjustment. Adding VAT/SAT to fully adjusted models improved discrimination for MACE (C-index 0.694 vs. 0.690, p = 0.036) and diabetes (C-index 0.723 vs. 0.715, p < 0.001).

conclusionThe VAT/SAT ratio identifies MHN individuals at elevated cardiometabolic risk beyond conventional anthropometric measures, with particularly strong associations for incident diabetes. These findings support the concept of opportunistic imaging-based risk assessment and provide the prognostic foundation for future trials investigating whether targeted intervention in VAT/SAT-reclassified individuals improves outcomes.

Indexed as

AdiposityCardiovascular DiseasesDiabetes Mellitus, Type 2Intra-Abdominal FatMagnetic Resonance ImagingSubcutaneous FatWhole Body ImagingAdultAgedFemaleHealth StatusHumansIncidenceMaleMiddle AgedPredictive Value of TestsCardiovascular diseasesDiabetesMagnetic resonance imagingMetabolismObesity

Identifiers

PMID42387503
PMCPMC13330449

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Registered trials

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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.