Evidence map›Paper›PMID 41847688›Full record

ArticleEuropean heart journal open2026

Trends and future projections of cancer prevalence in patients with cardiovascular admissions.

Guia Ferrari Ardicini, Andrija Matetic, Evangelos Kontopantelis, Alaide Chieffo, Carmen Maria Moldovan, Zahra Raisi-Estabragh, Elad Asher, Christian Mallen, Mamas A Mamas

Abstract read
In one paragraph

Article in European heart journal open, 2026. 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. Review
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.

Guia Ferrari ArdiciniKeele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele ST5 5BG, UK.ORCID https://orcid.org/0009-0001-5675-734X
Andrija MateticKeele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele ST5 5BG, UK.ORCID https://orcid.org/0000-0001-9272-6906
Evangelos KontopantelisDivision of Informatics, Imaging and Data Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK.ORCID https://orcid.org/0000-0001-6450-5815
Alaide ChieffoVita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.
Carmen Maria MoldovanThe 3rd Department of Cardiology, University of Athens, Sotiria Hospital, Mesogeion Avenue 152, 11527 Athens, Greece.
Zahra Raisi-EstabraghCentre for Advanced Cardiovascular Imaging, William Harvey Research Institute, Queen Mary University of London, NIHR Barts Biomedical Research Centre, Barts Heart Centre, Barts Health NHS Trust, Charterhouse Square, London EC1M 6BQ, UK.
Elad AsherJesselson Heart Center, Shaare Zedek Medical Center, The Eisenberg R&D Authority, and Faculty of Medicine, Hebrew University of Jerusalem, 12 Bayit Street, Jerusalem 91031, Israel.
Christian MallenSchool of Medicine, Keele University, Keele, Staffordshire ST5 5BG, UK.
Mamas A MamasKeele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele ST5 5BG, UK.ORCID https://orcid.org/0000-0001-9241-8890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Patients with cancer have an increased risk of cardiovascular (CV) events, although there is limited data on future trends in cancer prevalence amongst patients with an acute cardiovascular admission. The aim of this study was to evaluate trends in cancer prevalence among CV admissions with an attempt to predict future cancer and CV co-morbidity over the next 20 years. Methods and results: The analysis included all hospital admissions with a primary CV diagnosis from the US National Inpatient Sample (NIS), from 2016 to 2020. The sample was stratified by specific CV admission and by cancer status and type. The chi-square and the Kruskal-Wallis tests were used to compare categorical and continuous data, respectively, across the years. A Poisson regression model was used to predict the prevalence of overall and specific cancer types through 2040, based on the 5-year baseline period. Among 4.79 million CV admissions from 2016 to 2020, there was a significant increase in cancer prevalence from 4.8% to 5.4% ( Conclusion: The prevalence of cancer among patients hospitalized with CV disease is predicted to increase 2.48-fold by 2040. This trend highlights the importance of integrated cardio-oncology and multidisciplinary care models.

Indexed as

CancerCardiovascular admissionsTrends

Identifiers

PMID41847688
PMCPMC12989293

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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.