Using EHR data to compare survival disparities in major cancer types.

Journal of Clinical Oncology(2022)

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摘要
e18517 Background: The aim of our study is to provide a comparative overview of survival disparities in 5 major cancer types: breast cancer, colorectal cancer, lung cancer, multiple myeloma and prostate cancer, within one health system in New York City. Using this approach, we aim at initial assessment of potential drivers of disparities in cancer survival, especially for those who deceased in a short amount of time after diagnosis. Methods: A limited dataset was generated from electronic medical records from Mount Sinai Health System for the five cancer types from January 2003 to November 2020. We extracted 2 subsets from the original dataset: patients who survived less than 1 year between diagnoses and death, and patients who have survived for over 5 years after diagnoses. We performed logistic regression to investigate the effect of demographical factors on patients’ duration of survival after cancer diagnosis. Results: There are 1280 patients who survived less than 1 year and 20,816 patients who survived over 5 years. Although there are less overall colorectal cancer and lung cancer diagnoses, there are significantly more patients who deceased within a short of period of time from these 2 cancers, comparing to the other 3 cancer types. Race was an important factor. There was significantly more proportions of black patients deceased in a short period of time than in a long time after diagnosis. Percentage of individuals with short survival in Blacks and Whites was respectively 41.4% and 22.2% for lung cancer, 9.8% and 7.1% for colorectal cancer, 2.9% and 0.7% for breast cancer, 6.8% and 4.0% for multiple myeloma, and 1.4% and 0.8% for prostate cancer. This disparity was observed in all five cancer types. When comparing within race, there were significantly higher proportions of black patients survived a short time than those survived a long time for all 5 cancer types. When comparing with other races, black patients who were diagnosed with lung cancer or breast cancer were more likely to be deceased in a short time after diagnosis compare to white patients. And Hispanic patients with lung cancer were also at risk of shorter survival length compared to white patients. Thus, promoting routine cancer screening is important in black and Hispanic communities. Conclusions: Logistic regression identified factors increasing likelihood of shorter survival that included older age, and being male, Black or Hispanic. We concluded that further analysis of broader spectrum of risk factors is warranted.
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ehr data,survival disparities,major cancer types
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