Evidence map›Paper›PMID 41241414›Full record

ArticleThorax2026

Understanding the bidirectional relationship between chronic respiratory disease and cardiovascular disease using genetic evidence.

Naesilla Naesilla, Jennifer K Quint, Verena Zuber

Abstract read
In one paragraph

Article in Thorax, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Naesilla NaesillaSchool of Public Health, Imperial College London, London, UK.ORCID 0000-0003-2038-6345
Jennifer K QuintSchool of Public Health, Imperial College London, London, UK.ORCID 0000-0003-0149-4869
Verena ZuberSchool of Public Health, Imperial College London, London, UK v.zuber@imperial.ac.uk.ORCID 0000-0001-9827-1877

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic respiratory diseases (CRDs) and cardiovascular diseases (CVDs) are leading global health burdens. Despite being common, CRD and CVD comorbidity is often underestimated due to overlapping symptoms and risk factors. Consequently, their relationship remains unclear. AIMS AND

objectivesTo determine the bidirectional genetic relationship between CRD and CVD and explore smoking and inflammation as potentially shared joint risk factors.

methodsWe conducted bidirectional Mendelian randomisation (MR) to explore CRD-CVD relationships. Summary statistics from genome-wide association studies were retrieved for chronic obstructive pulmonary disease (COPD), asthma, coronary artery disease (CAD), myocardial infarction (MI), heart failure, atrial fibrillation (AF) and ischaemic stroke (IS). We performed additional analysis including univariable MR for smoking, multivariable MR adjusting for smoking and cis-MR to investigate the role of inflammatory markers.

resultsOur MR analysis found limited genetic evidence of relationships between CRD and CVD, and vice versa. However, a nominally significant genetic association was observed between asthma and an increased risk of AF (OR inverse-variance weighted (OR

conclusionsWhile we found limited genetic evidence linking CRD and CVD, smoking and inflammatory markers commonly affect both. These findings highlight the complexity of CRD-CVD comorbidities, whose pathophysiology likely does not involve direct causation of each other.

Indexed as

Cardiovascular DiseasesAsthmaChronic DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPulmonary Disease, Chronic ObstructiveRisk FactorsSmokingAsthmaClinical EpidemiologyPulmonary Disease, Chronic ObstructiveSmoking

Identifiers

PMID41241414
PMCPMC13151528

What OpenQuestion 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 OpenQuestion graph.