Evidence map›Paper›PMID 42894256›Full record

ArticleBiology of sex differences2026

Sex differences in the association of uric acid to HDL-cholesterol ratio (UHR) with subclinical cardiovascular damage.

Mariangela Rubino, Angela Palummo, Mattia Massimino, Carolina Averta, Stefania Belviso, Asia Servello, Francesco Maria Brisinda, Alberto Cosenza, Angela Sciacqua, Maria Perticone and 4 more

Abstract read
In one paragraph

Article in Biology of sex differences, 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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0citing papers in PubMed
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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

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.

Mariangela Rubino *Department of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Angela Palummo *Department of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Mattia Massimino *Department of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Carolina AvertaDepartment of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Stefania BelvisoAO Renato Dulbecco University Hospital of Catanzaro, Catanzaro, 88100, Italy.
Asia ServelloDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Francesco Maria BrisindaDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Alberto CosenzaDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Angela SciacquaDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Maria PerticoneDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Francesco PerticoneDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.
Elettra MancusoDepartment of Science of Health, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy. elettramancuso@unicz.it.
Gaia Chiara ManninoDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy. gaiamannino@unicz.it.ORCID https://orcid.org/0000-0002-6341-4572
Francesco AndreozziDepartment of Medical and Surgical Science, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro, 88100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases remain the leading cause of global mortality, with risk increasing significantly in women post-menopause. Identifying accessible biomarkers for subclinical risk stratification is a clinical priority. The uric acid to HDL-cholesterol ratio (UHR) has emerged as a composite marker reflecting metabolic burden and reduced vascular protection. This study investigates the independent association between UHR and subclinical organ damage, exploring sex-specific differences.

methodsWe analyzed 1,198 Caucasian subjects. Subclinical cardiovascular damage was evaluated via carotid intima-media thickness (c-IMT) and left ventricular mass index (LVMI). Multivariate linear regression and formal interaction analyses were employed to assess the independent association of UHR with organ damage, adjusting for traditional cardiometabolic risk factors.

resultsUHR correlated significantly with adiposity, insulin resistance, blood pressure, and lipid profiles. In the total population, UHR was independently associated with both c-IMT (β = 0.093, p = 0.003) and LVMI (β = 0.194, p < 0.0001). A significant sex-UHR interaction was observed for LVMI (p = 0.024). Sex-stratified analyses revealed that UHR was linked to LVMI in women, particularly those postmenopausal, but not in males. In postmenopausal women, UHR remained an independent determinant of LVMI (β = 0.164, p = 0.033).

conclusionsUHR is independently associated with subclinical cardiovascular damage, displaying a sex-specific relationship with myocardial remodeling after menopause. As an inexpensive and easily accessible biomarker, UHR may represent a practical tool to combat clinical inertia and improve the early selection of postmenopausal women warranting targeted diagnostic workups.

Indexed as

Cardiovascular DiseasesCholesterol, HDLSex CharacteristicsUric AcidAdultAgedBiomarkersCarotid Intima-Media ThicknessFemaleHumansMaleMiddle AgedBiomarkersCholesterol, HDLUric AcidCarotid Intima-Media Thickness (c-IMT)Left Ventricular Mass Index (LVMI)Sex-Specific BiomarkerSubclinical Cardiovascular DamageUric Acid to HDL-Cholesterol Ratio (UHR)

Identifiers

PMID42894256
PMCPMC13679248

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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.