ArticleCardio-oncology (London, England)2020
Practical and cost-effective model to build and sustain a cardio-oncology program.
Article in Cardio-oncology (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed.
- PrevCardioOncAI: Machine Learning Algorithms for Predicting Cardiovascular Disease in Cancer Survivors.Journal of the American Heart Association · 2025Observational
- Applying the unattainable triangle in cardio-oncology care: Balancing cost, quality, and time.Oncotarget · 2025Review
- Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities.American heart journal plus : cardiology research and practice · 2024Article
- Complications and comorbidities associated with antineoplastic chemotherapy: Rethinking drug design and delivery for anticancer therapy.Acta pharmaceutica Sinica. B · 2024Review
- Developing Cardio-Oncology Programs in the New Era: Beyond Ventricular Dysfunction Due to Cancer Treatments.Cancers · 2023Review
- Social disparities in cardiovascular mortality of patients with cancer in the USA between 1999 and 2019.International journal of cardiology. Cardiovascular risk and prevention · 2023Article
- Cardiometabolic comorbidities in Hispanic/Latino cancer survivors: prevalence and impact on health-related quality of life and supportive care needs.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Simplified rules-based tool to facilitate the application of up-to-date management recommendations in cardio-oncology.Cardio-oncology (London, England) · 2023Article
- Advancing Cardio-Oncology in Asia.Korean circulation journal · 2023Review
- Patient similarity and other artificial intelligence machine learning algorithms in clinical decision aid for shared decision-making in the Prevention of Cardiovascular Toxicity (PACT): a feasibility trial design.Cardio-oncology (London, England) · 2023Article
- Training and Career Development in Cardio-Oncology Translational and Implementation Science.Heart failure clinics · 2022Review
- Cardio-Oncology Care Delivered in the Non-academic Environment.Current treatment options in oncology · 2022Review
- Racial Disparities in Cardiovascular Disease Among Patients with Cancer in the United States: The Elephant in the Room.EClinicalMedicine · 2022Article
- A virtual-hybrid approach to launching a cardio-oncology clinic during a pandemic.Cardio-oncology (London, England) · 2021Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardio-Oncology (CO) is a new subspecialty that thrives mostly in large academic quaternary centers. This study describes how to establish a successful cardio-oncology program, with limited resources, in order to effectively manage the unique care required by this patient population.
methodsClinical data was collected from 25 consecutive months. There were four foundational elements to establish a CO program: 1. Clinical program: integrating staff and resources from the Heart and Vascular, and Cancer Centers; 2. Education Program: establishing a platform to educate/advocate with respect to CO; 3. Engagement with professional societies: active engagement allowed for the successful establishment of the proposed CO program; and 4. Research program: establishing data collection modalities/cooperation with other institutions.
results474 consecutive patients were treated by our CO program during the first 25 months of operation. Clinical data, information about cancer treatment, cardiovascular co morbidities, cardiac testing and impact of CO management are reported.
conclusionsA successful CO program can be established utilizing existing resources without the need for significant additional assets. Integration with professional societies, advocacy, education and research, provide a platform for learning and growth. This model improves access to care and can be reproduced in a variety of settings.
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Registered trials
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.