Mohamed, Mohamed;
Ghosh, Arjun K;
Banerjee, Amitava;
Mamas, Mamas;
(2024)
Socioeconomic and ethnic disparities in the process of care and outcomes among cancer patients with acute coronary syndrome.
Canadian Journal of Cardiology
10.1016/j.cjca.2024.03.012.
(In press).
Text
1-s2.0-S0828282X24002733-main.pdf - Accepted Version Access restricted to UCL open access staff until 25 March 2025. Download (1MB) |
Abstract
Cancer and acute coronary syndrome (ACS) are the leading causes of morbidity and mortality globally, with many shared risk factors between both conditions. There are several challenges to the management of patients with cancer presenting with ACS due to their higher baseline risk profile, the complexities of their cancer-related therapies and prognosis, and their higher risk of adverse outcomes after ACS. Although previous studies have demonstrated disparities in the care of both cancer and ACS among patients from ethnic minorities and socioeconomic deprivation, there is limited evidence around the magnitude of such disparities specifically in cancer patients presenting with ACS. This review summarises the current literature on differences in prevalence and management of ACS among patients with cancer from ethnic minorities and socioeconomically deprived backgrounds, as well as the gaps in evidence around the care of this high-risk population and their potential solutions.
Type: | Article |
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Title: | Socioeconomic and ethnic disparities in the process of care and outcomes among cancer patients with acute coronary syndrome |
Location: | England |
DOI: | 10.1016/j.cjca.2024.03.012 |
Publisher version: | https://doi.org/10.1016/j.cjca.2024.03.012 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
URI: | https://discovery.ucl.ac.uk/id/eprint/10190345 |
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