Evidence mapPaperPMID 41125406Full record

SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2025

Methods to assess atherosclerotic cardiovascular risk in chronic respiratory diseases: a systematic review.

Omer Faruk Uysal, Tobin Joseph, Ahmad M Alharbi, Tanya Patrick, Aidan Yu, Amar J Shah, Swapna Mandal, Siegfried K Wagner, James Brown, Chris P Gale and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Omer Faruk UysalUCL Respiratory, University College London, London, UK omer.uysal.23@ucl.ac.uk.ORCID https://orcid.org/0009-0004-4201-0941
Tobin JosephLeeds Institute of Data Analytics, University of Leeds, Leeds, UK.
Ahmad M AlharbiUCL Respiratory, University College London, London, UK.
Tanya PatrickUCL Respiratory, University College London, London, UK.
Aidan YuDepartment of Clinical Immunology, Royal Free London NHS Foundation Trust, London, UK.
Amar J ShahUCL Respiratory, University College London, London, UK.ORCID https://orcid.org/0000-0002-7278-6909
Swapna MandalUCL Respiratory, University College London, London, UK.
Siegfried K WagnerInstitute of Ophthalmology, UCL, London, UK.
James BrownUCL Respiratory, University College London, London, UK.
Chris P GaleLeeds Institute of Data Analytics, University of Leeds, Leeds, UK.
John R HurstUCL Respiratory, University College London, London, UK.ORCID https://orcid.org/0000-0002-7246-6040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic respiratory diseases, such COPD and asthma, increase the risk of atherosclerotic cardiovascular disease (ASCVD) through shared pathophysiological mechanisms and modifiable risk factors. There are a number of methods to assess ASCVD, and limited systematic information about how these may be applied to chronic respiratory diseases.

objectiveTo systematically report existing methods of estimating ASCVD risk in chronic respiratory disease populations, highlighting strengths, limitations and clinical applicability.

methodsA systematic search of MEDLINE, Embase, Scopus, and CINAHL was conducted up to June 2025 following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (www.crd.york.ac.uk/PROSPERO identifier CRD42024543335). An extended search was also performed. To assess search sensitivity, a random sample of 30 studies from the extended search were reviewed. Key international clinical guidelines were examined for recommended tools. Studies assessing ASCVD risk in chronic respiratory disease populations were included. A narrative synthesis was employed.

results63 studies from 26 countries identified 68 ASCVD risk assessment tools and biomarkers in chronic respiratory disease. Imaging techniques such as coronary artery calcium scoring, and carotid intima-media thickness provide detailed anatomical information, but require equipment and expertise. Risk scores (Framingham Risk Score; Systematic Coronary Risk Evaluation) are practical, although they lack precision at the individual level. Biomarkers and functional tests provide holistic measurements yet are often resource-demanding. Arterial stiffness measurement directly assesses vascular pathology and requires specialist equipment.

conclusionMultiple ASCVD risk assessment methods exist for chronic respiratory diseases, highlighting the need to understand the strengths and weaknesses of tools for tailored solutions. Future studies should address validation, accessibility and improved personalised risk stratification.

Indexed as

AtherosclerosisChronic DiseaseHumansPredictive Value of TestsPrognosisRisk AssessmentRisk Factors

Identifiers

PMID41125406
PMCPMC12542838

What Socratic holds

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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.