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1.
Cancer J ; 28(2): 151-156, 2022.
Artículo en Inglés | MEDLINE | ID: covidwho-1764719

RESUMEN

ABSTRACT: Because of significant adaptations forced by the COVID-19 pandemic, resultant changes within health care delivery and clinical research introduced the potential for evaluation of novel evidence generation approaches in oncology. On July 26 and 27, 2021, the National Academies of Science, Engineering, and Medicine, National Cancer Policy Forum hosted a virtual workshop entitled "Cancer Care and Cancer Research in the Context of the COVID-19 Pandemic: A Workshop on Lessons Learned." This workshop examined changes in cancer care and cancer research that occurred in response to the COVID-19 pandemic and considered lessons learned from that experience. The goal was to identify what changes could improve the delivery of high-quality cancer care and the conduct of cancer clinical trials in the postpandemic era, with an emphasis on health equity. How can we sustain the valuable lessons learned that might accelerate progress and enhance clinical evidence generation for patients and clinicians? In this overview, we discuss ways in which the COVID-19 experience has catalyzed research efficiencies as well as fostered a broader array of trial design and research methods that may facilitate improved cancer drug development during the pandemic and beyond.


Asunto(s)
COVID-19 , Neoplasias , COVID-19/epidemiología , Humanos , Oncología Médica , Neoplasias/epidemiología , Neoplasias/terapia , Pandemias
3.
Cancer Rep (Hoboken) ; 4(5): e1388, 2021 10.
Artículo en Inglés | MEDLINE | ID: covidwho-1235659

RESUMEN

BACKGROUND: The understanding of the impact of COVID-19 in patients with cancer is evolving, with need for rapid analysis. AIMS: This study aims to compare the clinical and demographic characteristics of patients with cancer (with and without COVID-19) and characterize the clinical outcomes of patients with COVID-19 and cancer. METHODS AND RESULTS: Real-world data (RWD) from two health systems were used to identify 146 702 adults diagnosed with cancer between 2015 and 2020; 1267 COVID-19 cases were identified between February 1 and July 30, 2020. Demographic, clinical, and socioeconomic characteristics were extracted. Incidence of all-cause mortality, hospitalizations, and invasive respiratory support was assessed between February 1 and August 14, 2020. Among patients with cancer, patients with COVID-19 were more likely to be Non-Hispanic black (NHB), have active cancer, have comorbidities, and/or live in zip codes with median household income <$30 000. Patients with COVID-19 living in lower-income areas and NHB patients were at greatest risk for hospitalization from pneumonia, fluid and electrolyte disorders, cough, respiratory failure, and acute renal failure and were more likely to receive hydroxychloroquine. All-cause mortality, hospital admission, and invasive respiratory support were more frequent among patients with cancer and COVID-19. Male sex, increasing age, living in zip codes with median household income <$30 000, history of pulmonary circulation disorders, and recent treatment with immune checkpoint inhibitors or chemotherapy were associated with greater odds of all-cause mortality in multivariable logistic regression models. CONCLUSION: RWD can be rapidly leveraged to understand urgent healthcare challenges. Patients with cancer are more vulnerable to COVID-19 effects, especially in the setting of active cancer and comorbidities, with additional risk observed in NHB patients and those living in zip codes with median household income <$30 000.


Asunto(s)
COVID-19/epidemiología , Neoplasias/epidemiología , Determinantes Sociales de la Salud/estadística & datos numéricos , Factores Socioeconómicos , Anciano , COVID-19/diagnóstico , COVID-19/terapia , COVID-19/virología , Comorbilidad , Análisis de Datos , Femenino , Mortalidad Hospitalaria , Humanos , Masculino , Persona de Mediana Edad , Neoplasias/complicaciones , Neoplasias/inmunología , Admisión del Paciente/estadística & datos numéricos , Respiración Artificial , Estudios Retrospectivos , Factores de Riesgo , SARS-CoV-2/inmunología , Índice de Severidad de la Enfermedad , Estados Unidos/epidemiología
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