Evidence mapPaperPMID 41484350Full record

ArticleInternational journal of obesity (2005)2026

Capturing metabolic syndrome: new thresholds for insulin resistance and novel body composition indices.

Francesco Frigerio, Alessia Vitozzi, Claudia Piciocchi, Federico Ricci, Maria De Marinis, Valeria Galfano, Carla Lubrano, Stefania Mariani, Elena Gangitano, Marianna Minnetti and 9 more

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Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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 synthesis or guideline pooled it.

  1. Pooled it
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

19 authors.

Francesco FrigerioDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy. francesco.frigerio@uniroma5.it.ORCID 0000-0002-9502-3314
Alessia VitozziDepartment of Statistical Sciences, Sapienza University of Rome, Rome, Italy.
Claudia PiciocchiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Federico RicciDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Maria De MarinisDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Valeria GalfanoDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Carla LubranoDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.ORCID 0000-0001-8261-1451
Stefania MarianiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Elena GangitanoDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Marianna MinnettiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Luca MuzzioliDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Andrea LenziDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Massimiliano CaprioLaboratory of Cardiovascular Endocrinology, IRCCS San Raffaele, Rome, Italy.
Andrea M IsidoriDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-9037-5417
Lucio GnessiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.ORCID 0000-0001-8217-2372
Silvia MigliaccioDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Mario SiervoSchool of Population Health, Curtin University, Perth, WA, Australia.
Lorenzo Maria DoniniDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.ORCID 0000-0003-4692-4754
Eleonora PoggiogalleDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.ORCID 0000-0003-0862-5892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite being a defining feature of metabolic syndrome (MetS), clinical assessment of IR remains challenging, due to the costs of reference methods and the numerosity of IR indices. Furthermore, to which extent IR contributes to MetS, while controlling for altered body composition, is still largely unexplored.

objectivesThe present work aims at proposing new cut points for IR among people with overweight and obesity, assessing the concordance of different IR definitions and investigating how IR interacts with body composition in predicting MetS status. SUBJECTS: 665 patients were assessed for potential enrolment, using a cross-sectional design. The following inclusion criteria were applied: age ≥18 years, body mass index ≥25 kg/m

methodsConcordance of previously validated IR definitions was assessed by Cohen's κ. ROC curve analysis with 5-fold cross-validation was used to determine novel cut points for IR indices based on MetS presence. Finally, mediation analysis was employed to test whether IR mediates the relationship between body composition indices (i.e., fat mass-to-fat-free mass ratio, FM:FFM and appendicular lean soft tissue-to-visceral fat area ratio, ALST:VFA) and MetS.

resultsA total of 515 patients were included in the final analysis (females: 80.9%; MetS prevalence: 40%). Overall, IR definitions which previously validated against the hyperinsulinemic-euglycemic clamp displayed the highest level of agreement. The following cut-points were identified from ROC curve analysis: ISI-Matsuda<3.33 (AUROC = 0.675, p < 0.001), HOMA-IR > 2.93 (AUROC = 0.663 p < 0.001), HOMA2-IR > 1.67 (AUROC = 0.651 p < 0.001). Finally, ALST:VFA but not FM:FFM significantly predicted MetS status independent of age, with the mediating role of ISI-Matsuda, HOMA-IR and HOMA2-IR.

conclusionsIR indices mediated the effect of altered body composition (i.e., reduced appendicular muscularity and increased visceral adiposity) on MetS. Newly proposed diagnostic thresholds can aid in the identification of IR among patients at increased cardio-metabolic risk.

Indexed as

Body CompositionInsulin ResistanceMetabolic SyndromeAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesity

Identifiers

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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 Socratic graph.