Evidence map›Paper›PMID 33100262›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2020

Cardiovascular risk in patients with severe mental illness in Italy.

Virginio Salvi, Andrea Aguglia, Francesco Barone-Adesi, Davide Bianchi, Chiara Donfrancesco, Filippo Dragogna, Luigi Palmieri, Gianluca Serafini, Mario Amore, Claudio Mencacci

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

10 authors.

Virginio SalviDepartment of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy.ORCID 0000-0003-3374-018X
Andrea AgugliaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.
Francesco Barone-AdesiDepartment of Translational Medicine, University of Eastern Piedmont, Novara, Italy.
Davide BianchiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.ORCID 0000-0003-3398-8126
Chiara DonfrancescoDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, National Institute of Health, Rome, Italy.
Filippo DragognaDepartment of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy.
Luigi PalmieriDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, National Institute of Health, Rome, Italy.ORCID 0000-0002-4298-2642
Gianluca SerafiniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.
Mario AmoreDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.
Claudio MencacciDepartment of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with severe mental illness (SMI), such as schizophrenia or bipolar disorders, are more frequently affected by metabolic syndrome and cardiovascular (CV) diseases than the general population, with a significant reduction in life expectancy. Beyond metabolic syndrome, quantifying the risk of CV morbidity in the long-term may help clinicians to put in place preventive strategies. In this study, we assessed 10-year CV risk in patients with SMI and healthy individuals using an algorithm validated on the Italian general population.

methodsPatients aged 35-69 years diagnosed with SMI were consecutively recruited from psychiatric acute care units. Single CV risk factors were assessed, and 10-year CV risk calculated by means of the CUORE Project 10-year CV risk algorithm, based on the combination of the following risk factors: age, systolic blood pressure, total and high-density lipoprotein cholesterol, diabetes, smoking habit, and hypertensive treatment. Patients' data were compared with those from the general population. The 10-year CV risk was log-transformed, and multivariable linear regression was used to estimate mean ratios, adjusting for age, and education.

resultsThree hundred patients and 3,052 controls were included in the analysis. Among men, the 10-year CV risk score was very similar between patients with SMI and the general population (mean ratio [MR]: 1.02; 95%CI 0.77-1.37), whereas a 39% increase in 10-year CV risk was observed in women with SMI compared to the general population (MR: 1.39; 95%CI 1.16-1.66).

conclusionsIn our study, women with SMI were consistently more at risk than the general population counterpart, even at younger age.

Indexed as

Heart Disease Risk FactorsAdultAgedBipolar DisorderCardiovascular DiseasesFemaleHealth StatusHumansHypertensionItalyLife ExpectancyMaleMental DisordersMetabolic SyndromeMiddle AgedRisk FactorsBipolar disordercardiovascular riskschizophreniasevere mental illness

Identifiers

PMID33100262
PMCPMC7681153

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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.