Evidence map›Paper›PMID 35913736›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2022

Impact of cancer diagnosis on distribution and trends of cardiovascular hospitalizations in the USA between 2004 and 2017.

Ofer Kobo, Zahra Raisi-Estabragh, Sofie Gevaert, Jamal S Rana, Harriette G C Van Spall, Ariel Roguin, Steffen E Petersen, Bonnie Ky, Mamas A Mamas

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal. Quality of care & clinical outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

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  6. External Validation of the PRECISE-DAPT Cancer Score in Patients With Acute Myocardial Infarction.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025
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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

9 authors at 8 institutions in 5 countries.

Ofer KoboKeele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele, Newcastle ST5 5BG, UK.
Zahra Raisi-EstabraghWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Centre for Advanced Cardiovascular Imaging, Queen Mary University London, ondon E1 4NS, UK.ORCID 0000-0002-7757-5465
Sofie GevaertDepartment of Cardiology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-8721-3003
Jamal S RanaDepartment of Cardiology, Permanente Medical Group, Oakland, CA 94612, USA.
Harriette G C Van SpallDepartment of Medicine, Department of Health Research Methods, Evidence, and Impact, Population Health Research Institute, Research Institute of St. Joe's, McMaster University, Hamilton, ON L8S 4L8, Canada.
Ariel RoguinDepartment of Cardiology, Hillel Yaffe Medical Center, Hadera 38100, Israel.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Centre for Advanced Cardiovascular Imaging, Queen Mary University London, London E1 4NS, UK.
Bonnie KyDivision of Cardiology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-6628-9981
Mamas A MamasKeele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele, Newcastle ST5 5BG, UK.
Hillel Yaffe Medical Center · ILGhent University Hospital · BEPopulation Health Research Institute · CASt Bartholomew's Hospital · GBTuring Institute · GBUniversity of California, San Francisco · USUniversity of Manchester · GBUniversity of Pennsylvania · US

Funding

British Heart Foundation FS/17/81/33 318British Heart Foundation FS/17/81/33318Department of Health
6 · The paper itself

Abstract

BACKGROUND AND

aimsThere is limited data on temporal trends of cardiovascular hospitalizations and outcomes amongst cancer patients. We describe the distribution, trends of admissions, and in-hospital mortality associated with key cardiovascular diseases among cancer patients in the USA between 2004 and 2017.

methodsUsing the Nationwide Inpatient Sample we, identified admissions with five cardiovascular diseases of interest: acute myocardial infarction (AMI), pulmonary embolism (PE), ischaemic stroke, heart failure, atrial fibrillation (AF) or atrial flutter, and intracranial haemorrhage. Patients were stratified by cancer status and type. We estimated crude annual rates of hospitalizations and annual in-hospital all-cause mortality rates.

resultsFrom >42.5 million hospitalizations with a primary cardiovascular diagnosis, 1.9 million (4.5%) had a concurrent record of cancer. Between 2004 and 2017, cardiovascular admission rates increased by 23.2% in patients with cancer, whilst decreasing by 10.9% in patients without cancer. The admission rate increased among cancer patients across all admission causes and cancer types except prostate cancer. Patients with haematological (9.7-13.5), lung (7.4-8.9), and GI cancer (4.6-6.3) had the highest crude rates of cardiovascular hospitalizations per 100 000 US population. Heart failure was the most common reason for cardiovascular admission in patients across all cancer types, except GI cancer (crude admission rates of 13.6-16.6 per 100 000 US population for patients with cancer).

conclusionsIn contrast to declining trends in patients without cancer, primary cardiovascular admissions in patients with cancer is increasing. The highest admission rates are in patients with haematological cancer, and the most common cause of admission is heart failure.

Indexed as

Brain IschemiaHeart FailureNeoplasmsStrokeHospitalizationHumansLungMaleUnited StatesCardio- oncologyprognosistrends

Identifiers

PMID35913736
PMCPMC9603542
OpenAlexW4289260200

What OpenQuestion holds

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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.