Evidence mapPaperPMID 38538149Full record

ArticleEuropean heart journal2024

Severe mental illness: cardiovascular risk assessment and management.

Christoffer Polcwiartek, Kevin O'Gallagher, Daniel J Friedman, Christoph U Correll, Marco Solmi, Svend Eggert Jensen, René Ernst Nielsen

Open access · hybridAbstract read
In one paragraph

Article in European heart journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 6 pooled it
25.7field-weighted citation impact, top 1% of its field
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

47 citing papers in PubMed, 6 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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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

7 authors at 5 institutions in 5 countries.

Christoffer PolcwiartekDepartment of Cardiology, Aalborg University Hospital, Hobrovej 18-22, DK-9000 Aalborg, Denmark.ORCID 0000-0001-9372-7484
Kevin O'GallagherCardiovascular Department, King's College Hospital NHS Foundation Trust London, London, UK.ORCID 0000-0003-2218-4763
Daniel J FriedmanSection of Cardiac Electrophysiology, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0001-5791-1954
Christoph U CorrellDepartment of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.ORCID 0000-0002-7254-5646
Marco SolmiDepartment of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-4877-7233
Svend Eggert JensenDepartment of Cardiology, Aalborg University Hospital, Hobrovej 18-22, DK-9000 Aalborg, Denmark.ORCID 0000-0002-0348-8668
René Ernst NielsenDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-7982-6352
Aalborg University Hospital · DKDuke Medical Center · USKing's College London · GBNorthwell Health · USUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with severe mental illness (SMI) including schizophrenia and bipolar disorder die on average 15-20 years earlier than the general population often due to sudden death that, in most cases, is caused by cardiovascular disease. This state-of-the-art review aims to address the complex association between SMI and cardiovascular risk, explore disparities in cardiovascular care pathways, describe how to adequately predict cardiovascular outcomes, and propose targeted interventions to improve cardiovascular health in patients with SMI. These patients have an adverse cardiovascular risk factor profile due to an interplay between biological factors such as chronic inflammation, patient factors such as excessive smoking, and healthcare system factors such as stigma and discrimination. Several disparities in cardiovascular care pathways have been demonstrated in patients with SMI, resulting in a 47% lower likelihood of undergoing invasive coronary procedures and substantially lower rates of prescribed standard secondary prevention medications compared with the general population. Although early cardiovascular risk prediction is important, conventional risk prediction models do not accurately predict long-term cardiovascular outcomes as cardiovascular disease and mortality are only partly driven by traditional risk factors in this patient group. As such, SMI-specific risk prediction models and clinical tools such as the electrocardiogram and echocardiogram are necessary when assessing and managing cardiovascular risk associated with SMI. In conclusion, there is a necessity for differentiated cardiovascular care in patients with SMI. By addressing factors involved in the excess cardiovascular risk, reconsidering risk stratification approaches, and implementing multidisciplinary care models, clinicians can take steps towards improving cardiovascular health and long-term outcomes in patients with SMI.

Indexed as

Cardiovascular DiseasesMental DisordersHeart Disease Risk FactorsHumansRisk AssessmentRisk FactorsCardiovascular diseaseCardiovascular mortalityRisk factorsRisk stratificationScreeningSevere mental illnessSudden cardiac death

Identifiers

PMID38538149
PMCPMC10972692
OpenAlexW4394765569

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.