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Cancer treatment during COVID-19 pandemic.

ABSTRACT: Currently world is fighting with global pandemic of coronavirus disease 2019 (COVID-19). At this time of uncertainty, oncologists are struggling to provide appropriate care to cancer patients. They have to weigh risk and benefit of giving cancer treatment vs chances of getting them infected with COVID-19. As cancer patients are immunocompromised and there are high chances of exposure during hospital visits and if they get infected, outcome can be fatal. So through the column of this article, we would like to provide basic guideline in management of cancer patients during COVID-19 pandemic.

SUBMITTER: Jindal V

PROVIDER: S-EPMC7256336 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Cancer treatment during COVID-19 pandemic.

Jindal Vishal V Sahu Kamal Kant KK Gaikazian Susanna S Siddiqui Ahmad Daniyal AD Jaiyesimi Ishmael I

Medical oncology (Northwood, London, England) 20200529 7

Currently world is fighting with global pandemic of coronavirus disease 2019 (COVID-19). At this time of uncertainty, oncologists are struggling to provide appropriate care to cancer patients. They have to weigh risk and benefit of giving cancer treatment vs chances of getting them infected with COVID-19. As cancer patients are immunocompromised and there are high chances of exposure during hospital visits and if they get infected, outcome can be fatal. So through the column of this article, we ...[more]

PMID: 32472216

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Project description:BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) has endangered human health and life. This pandemic has changed people's lifestyle and affected the regular delivery of standard cancer treatment. In the present study, we aimed to explore the influencing factors of delayed treatment in patients with breast cancer during COVID-19 pandemic.MethodsThis study was a cross-sectional investigation, and the subjects were patients who were discharged from the department of burn and plastic surgery after February 2020. All participants completed this study's online questionnaire based on the WeChat and Wenjuanxing platforms. Levels of anxiety and depression were measured by the Hospital Anxiety and Depression Scale (HADS). Patients were divided into a delay group and non-delay group according to the occurrence of delayed treatment. Univariate analysis was performed by using the t test or chi-square test. A logistic regression model was employed to determine factors associated with delayed treatment.ResultsThe present study included a total of 397 patients with breast cancer, among whom delayed treatment occurred in 76 patients, accounting for 19.1%. Scores on both the anxiety subscale and depression subscale in delay group were significantly higher than those in non-delay group. Compared with non-delay group, we found that patients in delay group usually had a higher level of education (P = 0.020), worse self-feeling (P = 0.030), poor compliance of medical order (P = 0.042), and a higher prevalence of anxiety (P = 0.004) and depression (P = 0.012). Traffic inconvenience was also an important relevant factor for delayed treatment (P = 0.001). The prevalence of recurrence in delay group was higher than that in non-delay group (P = 0.018). By using logistic multivariate regression analysis, the results revealed that level of education and traffic inconvenience were independent factors influencing delayed treatment in patients with breast cancer during COVID-19 pandemic.ConclusionThe prevalence of delayed treatment in patients with breast cancer during COVID-19 pandemic is relatively high. Our findings reveal several influencing factors closely associated with delayed treatment, which is useful information that will be beneficial for patients to receive standardized therapy by taking targeted measures.

Project description:ImportanceCancer treatment delay has been reported to variably impact cancer-specific survival and coronavirus disease 2019 (COVID-19)-specific mortality during the severe acute respiratory syndrome coronavirus 2 pandemic. During the pandemic, treatment delay is being recommended in a nonquantitative, nonobjective, and nonpersonalized manner, and this approach may be associated with suboptimal outcomes. Quantitative integration of cancer mortality estimates and data on the consequences of treatment delay is needed to aid treatment decisions and improve patient outcomes.ObjectiveTo obtain quantitative integration of cancer-specific and COVID-19-specific mortality estimates that can be used to make optimal decisions for individual patients and optimize resource allocation.Design, setting, and participantsIn this decision analytical model, age-specific and stage-specific estimates of overall survival pre-COVID-19 were adjusted by the probability of COVID-19 (individualized by county, treatment-specific variables, hospital exposure frequency, and COVID-19 infectivity estimates), COVID-19 mortality (individualized by age-specific, comorbidity-specific, and treatment-specific variables), and delay of cancer treatment (impact and duration). These model estimates were integrated into a web application (OncCOVID) to calculate estimates of the cumulative overall survival and restricted mean survival time of patients who received immediate vs delayed cancer treatment. Using currently available information about COVID-19, a susceptible-infected-recovered model that accounted for the increased risk among patients at health care treatment centers was developed. This model integrated the data on cancer mortality and the consequences of treatment delay to aid treatment decisions. Age-specific and cancer stage-specific estimates of overall survival pre-COVID-19 were extracted from the Surveillance, Epidemiology, and End Results database for 691 854 individuals with 25 cancer types who received cancer diagnoses in 2005 to 2006. Data from 5 436 896 individuals in the National Cancer Database were used to estimate the independent impact of treatment delay by cancer type and stage. In addition, data from 275 patients in a nested case-control study were used to estimate the COVID-19 mortality rate by age group and number of comorbidities. Data were analyzed from March 17 to May 21, 2020.ExposuresCOVID-19 and cancer.Main outcomes and measuresEstimates of restricted mean survival time after the receipt of immediate vs delayed cancer treatment.ResultsAt the time of the study, the OncCOVID web application allowed for the selection of up to 47 individualized variables to assess net survival for an individual patient with cancer. Substantial heterogeneity was found regarding the association between delayed cancer treatment and net survival among patients with a given cancer type and stage, and these 2 variables were insufficient to discriminate the net impact of immediate vs delayed treatment. Individualized overall survival estimates were associated with patient age, number of comorbidities, treatment received, and specific local community estimates of COVID-19 risk.Conclusions and relevanceThis decision analytical modeling study found that the OncCOVID web-based application can quantitatively aid in the resource allocation of individualized treatment for patients with cancer during the COVID-19 global pandemic.

Project description:ImportanceEarly in the COVID-19 pandemic, racial/ethnic minority communities disproportionately experienced poor outcomes; however, the association of the pandemic with prostate cancer (PCa) care is unknown.ObjectiveTo assess the association between race and PCa care delivery for Black and White patients during the first wave of the COVID-19 pandemic.Design, setting, and participantsThis multicenter, regional, collaborative, retrospective cohort study compared prostatectomy rates between Black and White patients with untreated nonmetastatic PCa during the COVID-19 pandemic (269 patients from March 16 to May 15, 2020) and prior (378 patients from March 11 to May 10, 2019).Main outcomes and measuresProstatectomy rates.ResultsOf the 647 men with nonmetastatic PCa, 172 (26.6%) were non-Hispanic Black men, and 475 (73.4%) were non-Hispanic White men. Black men were significantly less likely to undergo prostatectomy during the pandemic compared with White patients (1 of 76 [1.3%] vs 50 of 193 [25.9%]; P < .001), despite similar COVID-19 risk factors, biopsy Gleason grade groups, and comparable prostatectomy rates prior to the pandemic (17 of 96 [17.7%] vs 54 of 282 [19.1%]; P = .75). Black men had higher median prostate-specific antigen levels prior to biopsy (8.8 ng/mL [interquartile range, 5.3-15.2 ng/mL] vs 7.2 ng/mL [interquartile range, 5.1-11.1 ng/mL]; P = .04). A linear combination of regression coefficients with an interaction term for year demonstrated an odds ratio for likelihood of surgery of 0.06 (95% CI, 0.01-0.35; P = .002) for Black patients and 1.41 (95% CI, 0.81-2.44; P = .23) for White patients during the pandemic compared with prior to the pandemic. Changes in surgical volume varied by site (from a 33% increase to complete shutdown), with sites that experienced the largest reduction in cancer surgery caring for a greater proportion of Black patients.Conclusions and relevanceIn this large multi-institutional regional collaborative cohort study, the odds of PCa surgery were lower among Black patients compared with White patients during the initial wave of the COVID-19 pandemic. Although localized PCa does not require immediate treatment, the lessons from this study suggest systemic inequities within health care and are likely applicable across medical specialties. Public health efforts are needed to fully recognize the unintended consequence of diversion of cancer resources to the COVID-19 pandemic to develop balanced mitigation strategies as viral rates continue to fluctuate.

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Cancer treatment during COVID-19 pandemic.

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Cancer treatment during COVID-19 pandemic.

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