Predicting Cardiotoxicity in Breast Cancer Survivors: A Decade-Long Risk Model for Heart Failure and Cardiomyopathy

Predicting Cardiotoxicity in Breast Cancer Survivors: A Decade-Long Risk Model for Heart Failure and Cardiomyopathy | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 30 October 2025 V1 Latest version Share on Predicting Cardiotoxicity in Breast Cancer Survivors: A Decade-Long Risk Model for Heart Failure and Cardiomyopathy Authors : Afzal Ahmad 0000-0002-8687-298X [email protected] and Dr. Zainab Authors Info & Affiliations https://doi.org/10.22541/au.176185706.60148511/v1 192 views 128 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Cardiotoxicity remains a significant concern in breast cancer survivorship, particularly among women receiving systemic therapies such as anthracyclines and HER2-targeted agents. The study published in JAMA Oncology (October 23, 2025) presents a validated 10-year risk prediction model for heart failure and cardiomyopathy (HF/CM) in women with early-stage breast cancer. Using a cohort of over 26,000 patients from Kaiser Permanente Southern California, the model integrates demographic, clinical, and treatment-related variables to stratify patients into low-, moderate-, and high-risk categories. With a time-dependent AUC of 0.79, the model demonstrates strong discrimination and calibration, offering a practical tool for guiding cardiac surveillance and treatment planning. This commentary evaluates the study's methodology, clinical implications, and translational potential, while highlighting the need for equitable access to cardio-oncology services and integration of predictive tools into routine care. Supplementary Material File (cancer.pdf) Download 291.78 KB Information & Authors Information Version history V1 Version 1 30 October 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords breast cancer breast cancer research cancer research oncology Authors Affiliations Afzal Ahmad 0000-0002-8687-298X [email protected] View all articles by this author Dr. Zainab View all articles by this author Metrics & Citations Metrics Article Usage 192 views 128 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Afzal Ahmad, Dr. Zainab. Predicting Cardiotoxicity in Breast Cancer Survivors: A Decade-Long Risk Model for Heart Failure and Cardiomyopathy. Authorea . 30 October 2025. DOI: https://doi.org/10.22541/au.176185706.60148511/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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