Why the study?
There is limited knowledge on how to predict which cancer patients will experience adverse cardiac outcomes and cancer therapy-related cardiac dysfunction.
Unbiased patient-patient network clustering using electronic medical records successfully stratifies cancer patients into distinct risk subgroups for cancer therapy-related cardiac dysfunction and mortality.
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May help prioritize cardiac surveillance in high-risk cancer patients; leaves open multicenter validation before clinical use.
Hou et al. (2021) studied this question.
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