Single-arm Cohort Study on the Effects of the COVID-19 Pandemic on the Radiation Treatment of Cancer Patients Referred to the Radiation Oncology Division of a Tertiary Hospital.
Sean Patrick Catalon de Guzman, Lorelei Legaspi Chavez, Aedrian Arcangel Abrilla
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Abstract
Objective: This study aimed to identify the effects of COVID-19 pandemic on radiation treatment delays, interruptions, and cancer outcomes if any, in a Philippine tertiary hospital.
Methods: A retrospective observational cohort study was conducted among patients living with cancer who were referred for radiation therapy from March to July 2020. Data on treatment delays, treatment interruptions, and average treatment times were collected and analyzed. An association between radiation treatment interruption and disease failure rate was also evaluated.
Results: The study found the mean radiation treatment time ranged from 50.3 days to 140.6 days from the start of radiation treatment to the end of radiation treatment, and 181.7 days to 217.3 days from the date of CT simulation to the end of radiation treatment. These radiation treatment times and treatment interruptions are beyond any published recommendations for external beam radiation therapy, thus potentially leading to worse oncologic outcomes. However, no association between treatment interruption and disease failure rate was noted. This may be due to limitations of the study such as small sample size and heterogeneous patient characteristics such as different cancer pathologies and different disease stages.
Conclusion: This study showed that the COVID-19 pandemic had a significant impact on radiation treatment interruptions and delays, potentially leading to worse oncologic outcomes. The lack of association between treatment interruption and disease failure rate needs further investigation with a larger sample size, more homogeneous patient characteristics, and longer follow-up. The findings highlight the importance of maintaining cancer care services during pandemics and implementing measures to minimize treatment interruptions and delays to improve cancer outcomes.