Guidance for management of cancer surgery during the COVID-19 pandemic

Finley, Christian; Prashad, Anubha; Camuso, Natasha; Daly, Corinne; Aprikian, Armen; Ball, Chad G.; Bentley, J.; Charest, Dhany; Fata, Paola; Helyer, Lucy; O’Connell, Daniel; Moloo, Husein; Seely, Andrew J. E.; Werier, Joel; Zhong, Toni; Earle, Craig C.

doi:10.1503/cjs.005620

Cited by 61 publications

(67 citation statements)

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“…Delaying early interventions could negatively affect patients and exert long-term consequences, especially in patients with cancer. Several measures have been suggested to guide cancer treatment, including designating cancer surgeries as essential and of high priority surgeries, transferring patients with cancer to less overwhelmed institutions, high-level guidance for prioritizing cancer surgeries if delaying is essential, and concrete planning for performing delayed surgeries in a reasonable time period [ 25 ]. Our study demonstrated no change in the safety profile for both patients and healthcare workers throughout the study period.…”

Section: Discussionmentioning

confidence: 99%

The longitudinal impact of COVID-19 pandemic on neurosurgical practice

Bajunaid

Alatar

Alqurashi

et al. 2020

Clinical Neurology and Neurosurgery

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Highlights All neurosurgical procedures decreased in number during the COVID-19 pandemic. Surgical complication rates remained within the acceptable range. Emergency procedures numbers remained the same throughout the study period. Neurosurgical oncology cases were the highest in frequency. There is a decline in hospital length of stay as we progressed during the study period.

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Section: Discussionmentioning

confidence: 99%

The longitudinal impact of COVID-19 pandemic on neurosurgical practice

Bajunaid

Alatar

Alqurashi

et al. 2020

Clinical Neurology and Neurosurgery

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“…Apart from that, at the beginning of the pandemic things were not clear and there was no data on the incidence and mortality from Covid-19 in cancer patients; further, though there were several guidelines [2][3][4][5][6][7][8], they were not based on evidence as the evidence did not exist at that time and it was not clear as to what treatment modalities are safe, giving rise to uncertainties in the mind of patients and health care workers. The testing facilities were limited, the availability of PPE was limited and these were prioritized for suspected cases and contacts, while other diseases were kept on hold or received low priority.…”

Section: Introductionmentioning

confidence: 99%

Caring for cancer patients in the Covid pandemic: choosing between the devil and deep sea

Chakraborty

Pandey

2020

World J Surg Onc

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Background: Healthcare is an essential service at any time more so in the crisis like Covid. With increase in number of cases and mortality from Covid, the primary focus is shifted to the management of the Covid crisis and other health emergencies thus affecting normal health services and routine treatment of other diseases like cancer. Methods: This article reviews the published literature and guidelines on Covid and cancer and discusses them to optimize the care of cancer patients during Covid pandemic to improve treatment outcomes. Results: The results of the review of published literature show a twofold increase in probability of getting CoV2 infection by the cancer patients and a four-fold increase in chance of death. On the other hand, if left untreated a 20% increase in cancer death is expected. Data further show that none of the medicines like remdesivir, hydroxy chloroquin, dexamethasone, or azithromycin improves survival and response to Covid in cancer patients. Surgical results too show similar outcome before and after the pandemic though most of these report on highly selected patients populations. Conclusions: The Covid 2019 pandemic places cancer patients in a very difficult situation wherein if they seek treatment, they are exposing themselves to a risk of developing CoV2 infection and if they do not, the probability of dying without treatment increases. Hence, for them it is a choice between the devil and deep sea, and it is for the healthcare providers to triage patients and treat who cannot wait even though the data from the carefully selected cohort of patients show no increase in mortality or morbidity from treatment during Covid.

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“…This included estimating an ever-fluctuating number of available beds, securing sufficient personal protective equipment and ventilators, minimizing staff shortages, and establishing protocols to mitigate against nosocomial infections. National specialty societies examined the lessons from their counterparts abroad 1 , 2 , 3 and, along with federal and state agencies, issued guidelines for the evaluation of the urgency of procedures. 4 , 5 , 6…”

Section: Introductionmentioning

confidence: 99%

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations

et al. 2020

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Key Points Question How can clinical departments implement a clinical decision support tool to predict expected resource use to prioritize elective inpatient surgical procedures? Findings In this prognostic study, predictive models for length of stay, intensive care unit length of stay, mechanical ventilator requirement, and discharge disposition to a skilled nursing facility were developed using historical case data abstracted from the electronic health records of 42 199 patients. These models were integrated into an interactive online dashboard with end-user input and iteratively tested. Meaning Predictive modeling, in conjunction with other contextualizing factors, can be used to inform how to recommence elective inpatient procedures after the coronavirus disease 2019 (COVID-19) pandemic.

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Guidance for management of cancer surgery during the COVID-19 pandemic

Cited by 61 publications

References 0 publications

The longitudinal impact of COVID-19 pandemic on neurosurgical practice

The longitudinal impact of COVID-19 pandemic on neurosurgical practice

Caring for cancer patients in the Covid pandemic: choosing between the devil and deep sea

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations

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