Evidence map›Paper›PMID 37915077›Full record

ArticleCardiovascular diabetology2023

Sex-related differences for uric acid in the prediction of cardiovascular events in essential hypertension. A population prospective study.

Maria Perticone, Raffaele Maio, Ermal Shehaj, Simona Gigliotti, Benedetto Caroleo, Edoardo Suraci, Angela Sciacqua, Francesco Andreozzi, Francesco Perticone

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Maria PerticoneDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy.
Raffaele MaioGeriatric Unit, Azienda Ospedaliero Universitaria R. Dulbecco, Catanzaro, Italy.
Ermal ShehajCardiology and CICU Unit, Giovanni Paolo II Hospital, Lamezia Terme, Catanzaro, Italy.
Simona GigliottiDepartment of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Benedetto CaroleoInternal Medicine Unit, Basso Ionio Hospital, Soverato, Catanzaro, Italy.
Edoardo SuraciInternal Medicine Unit, Azienda Ospedaliero Universitaria R. Dulbecco, Catanzaro, Italy.
Angela SciacquaDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy.
Francesco AndreozziDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy.
Francesco PerticoneDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy. perticone@unicz.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUric acid (UA) is an independent prognostic factor for cardiovascular events, but there are no data demonstrating a different risk profile between women and men. Thus, we tested whether UA is associated with a possible sex-related difference in fatal and non-fatal cardiovascular events.

methodsIn this prospective population-based study we enrolled 1,650 never-treated Caucasian hypertensive outpatients referred to Catanzaro University Hospital (Italy). Inclusion criteria were newly diagnosed hypertensive patients, aged 20 years or more. Exclusion criteria were secondary form of hypertension, previous cardiovascular events, rheumatic and non-rheumatic valvular heart disease, prosthetic valves, cardiomyopathies, type-2 diabetes, chronic kidney disease, malignant diseases, gout arthritis and secondary forms of hyperuricemia, liver diseases, peripheral vascular diseases, and heart failure. Anthropometric, clinical, and biochemical parameters were measured. UA prognostic role was investigated by Cox regression analyses. Receiver-operating characteristic curve analyses and area under the curve were used to determine the predictive validity and the optimal cut-off point of UA. We investigated following endpoints: coronary events (fatal and nonfatal myocardial infarction, unstable angina, coronary revascularization procedures, coronary death); fatal and nonfatal stroke; all-cause mortality and major adverse cardiovascular events (MACE).

resultsWe enrolled 830 males and 820 females aged 52.2 ± 11.3 years. During 9.5 ± 3.1 years follow-up, there were 424 new clinical events (2.71%): 250 coronary (1.59%), 118 (0.75%) cerebrovascular, and 56 (0.40%) deaths. Comparison between groups demonstrated a higher and significant difference in incidence rate in females for MACE (3.08 vs 2.33%, P = 0.001), coronary (1.82 vs 1.36%, P = 0.014) and cerebrovascular events (0.93 vs 0.57%, P = 0.006). UA at multiple Cox regression analysis resulted a strong and significant predictor of coronary events (HR = 1.493;95% CI 1.375-1.621), cerebrovascular events (HR = 1.256;95% CI 1.109-1.423), MACE (HR = 1.415;95% CI 1.328- 53 1.508), and all-cause mortality (HR = 1.469;95% CI 1.237-1.745) in the whole population and in both groups with a HR higher in females. The best estimated cut-off values of uric acid for males and females predicted these endpoints equally well, but it was always lower in females than males.

conclusionsWe demonstrate, that UA operates with a sex-related impact and best cut-off value in predicting cardiovascular outcomes and all-cause mortality, reflecting a possible sex difference in disease pathophysiology.

Indexed as

HypertensionUric AcidEssential HypertensionFemaleHumansMaleProspective StudiesRisk FactorsSex CharacteristicsUric AcidCardiovascular riskEssential hypertensionGender medicineUric acid

Identifiers

PMID37915077
PMCPMC10621159

What OpenQuestion holds

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LicenceCC BY
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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.