ABSTRACT
Background: Studies on cancer patients during the COVID-19 pandemic have shown a decrease in new diagnoses, delays in care, and a shift to later stage disease presentations. Considering that NY has been an epicenter for COVID-19 in the U.S., we investigated its impact on new cancer diagnoses at the two campuses of NYU's Perlmutter Cancer Center and hypothesized that there would be a decrease in presentations during the peak outbreaks in NY. Methods: We conducted a single center, retrospective analysis of new cancer diagnoses before, during, and after the peak of the pandemic between Dec 1, 2019, and Aug 31, 2020. Following IRB approval, subjects were identified using our cancer center database, which includes both inpatient and outpatient visits. Subjects were included regardless of their treatment plan. New diagnoses before COVID-19 (Dec to Feb), at first peak (March to May), and during the initial recovery phase (June-Aug) were assessed. No COVID-19 vaccines were available during this time. Results: As summarized in Table, during the initial COVID-19 peak, there was a substantial decrease in new patient visits with statistically significant differences seen by age and certain cancer types including breast, skin, and hematologic malignancies. In all cancers, there was a decrease in the proportion of new patient visits among those over age 75 during the peak. When confining analyses to breast, skin, and hematologic cancers, we saw a significant increase in the proportion of younger new patients at the peak period. We also observed an association between age and stage, with an increase in new stage I diagnoses in the younger (age 18-54) population at peak. Telemedicine was most utilized by the younger population during both peak and recovery periods. Conclusions: In this retrospective analysis, we found that during the initial COVID-19 peak, prior to vaccine availability, outpatient visits for hematologic and solid malignancies decreased at our cancer center in NY. The decrease in the proportion of all cancer types in elderly patients during the peak was likely related to hesitancy among this vulnerable population to seek care. The widespread use of telemedicine also likely contributed to the increased incidence in new patient visits in younger patients. Lessons learned from this experience can help guide outreach to vulnerable populations during future outbreaks, particularly by fostering telemedicine use among the elderly.