Are patients with cancer at higher risk of COVID-19-related death? A systematic review and critical appraisal of the early evidence.

BACKGROUND: Early reports suggested that COVID-19 patients with cancer were at higher risk of COVID-19-related death. We conducted a systematic review with risk of bias assessment and synthesis of the early evidence on the risk of COVID-19-related death for COVID-19 patients with and without cancer. METHODS AND FINDINGS: We searched Medline/Embase/BioRxiv/MedRxiv/SSRN databases to 1 July 2020. We included cohort or case-control studies published in English that reported on the risk of dying after developing COVID-19 for people with a pre-existing diagnosis of any cancer, lung cancer, or haematological cancers. We assessed risk of bias using tools adapted from the Newcastle-Ottawa Scale. We used the generic inverse-variance random-effects method for meta-analysis. Pooled odds ratios (ORs) and hazard ratios (HRs) were calculated separately. Of 96 included studies, 54 had sufficient non-overlapping data to be included in meta-analyses (>500,000 people with COVID-19, >8000 with cancer; 52 studies of any cancer, three of lung and six of haematological cancers). All studies had high risk of bias. Accounting for at least age consistently led to lower estimated ORs and HRs for COVID-19-related death in cancer patients (e.g. any cancer versus no cancer; six studies, unadjusted OR=3.30,95%CI:2.59-4.20, adjusted OR=1.37,95%CI:1.16-1.61). Adjusted effect estimates were not reported for people with lung or haematological cancers. Of 18 studies that adjusted for at least age, 17 reported positive associations between pre-existing cancer diagnosis and COVID-19-related death (e.g. any cancer versus no cancer; nine studies, adjusted OR=1.66,95%CI:1.33-2.08; five studies, adjusted HR=1.19,95%CI:1.02-1.38). CONCLUSIONS: The initial evidence (published to 1 July 2020) on COVID-19-related death in people with cancer is characterised by multiple sources of bias and substantial overlap between data included in different studies. Pooled analyses of non-overlapping early data with adjustment for at least age indicated a significantly increased risk of COVID-19-related death for those with a pre-existing cancer diagnosis.

The risk of contracting SARS-CoV-2 or developing COVID-19 for people with cancer: A systematic review of the early evidence.

BACKGROUND: The early COVID-19 literature suggested that people with cancer may be more likely to be infected with SARS-CoV-2 or develop COVID-19 than people without cancer, due to increased health services contact and/or immunocompromise. While some studies were criticised due to small patient numbers and methodological limitations, they created or reinforced concerns of clinicians and people with cancer. These risks are also important in COVID-19 vaccine prioritisation decisions. We performed a systematic review to critically assess and summarise the early literature. METHODS AND FINDINGS: We conducted a systematic search of Medline/Embase/BioRxiv/MedRxiv/SSRN databases including peer-reviewed journal articles, letters/commentaries, and non-peer-reviewed pre-print articles for 1 January-1 July 2020. The primary endpoints were diagnosis of COVID-19 and positive SARS-CoV-2 test. We assessed risk of bias using a tool adapted from the Newcastle-Ottawa Scale. Twelve studies were included in the quantitative synthesis. All four studies of COVID-19 incidence (including 24,181,727 individuals, 125,649 with pre-existing cancer) reported that people with cancer had higher COVID-19 incidence rates. Eight studies reported SARS-CoV-2 test positivity for > 472,000 individuals, 48,370 with pre-existing cancer. Seven of these studies comparing people with any and without cancer, were pooled using random effects [pooled odds ratio 0.91, 95 %CI: 0.57-1.47; unadjusted for age, sex, or comorbidities]. Two studies suggested people with active or haematological cancer had lower risk of a positive test. All 12 studies had high risk of bias; none included universal or random COVID-19/SARS-CoV-2 testing. CONCLUSIONS: The early literature on susceptibility to SARS-CoV-2/COVID-19 for people with cancer is characterised by pervasive biases and limited data. To provide high-quality evidence to inform decision-making, studies of risk of SARS-CoV-2/COVID-19 for people with cancer should control for other potential modifiers of infection risk, including age, sex, comorbidities, exposure to the virus, protective measures taken, and vaccination, in addition to stratifying analyses by cancer type, stage at diagnosis, and treatment received.

Impact of integrated teaching-learning method on oncology clinical decision-making ability and cognitive learning of nursing students.

BACKGROUND: Innovative and student-centered teaching methods are required to improve critical thinking and clinical reasoning skills. The objective of this study was to determine the impact of an oncology internship training on learning outcomes of nursing students using an integrated teaching-learning method. METHODS: A pre- and post-test quasi-experimental study was conducted among 107 undergraduate nursing students in fourth year who were allocated to two groups (intervention group = 51 and control group = 55) to receive an integrated teaching-learning method and routine method respectively. Data was collected using the Clinical Decision Making in Nursing Scale (CDMNS) and the students' cognitive learning test. RESULTS: Difference in mean scores of cognitive learning test post-intervention was significant between the two groups (p < 0.001). Total CDMNS scores and its dimensions increased significantly for the intervention group post-intervention (p < 0.001). Analysis of covariance (ANCOVA) showed that when the effect of confounding variables, such as the student's Grade Point Average (GPA) and the pre-test scores of cognitive learning and decision-making scale were held constant, the effect of the independent variable (group) on students' cognitive learning test (p = 0.002) and CDMNS (p = 0.004) was significant. CONCLUSIONS: Nursing students' cognitive learning and clinical decision-making scores were improved as a result of the integrated teaching-learning method. Nursing educators can use this method in clinical education to improve students' cognitive and meta-cognitive skills, thereby improving nursing care quality.

Aftermath of COVID-19: Forestalling Irreparable Medical Brain Drain in Sub-Saharan Africa.

With the escalation of the novel coronavirus disease (COVID-19) across the globe, shortages in the already scarce medical workforce are imminent. Historically, more developed economies have looked abroad to augment their health systems. This paper aims to offer plausible solutions on how to avert future medical brain drain from sub-Saharan Africa (SSA) in the aftermath of COVID-19. We opine that emigration of medical workers from low-resource settings to more industrialized regions should be viewed by the destination countries as both a moral and an ethical issue. Countries in SSA must generally provide good leadership, diversify their economies, and ensure adequate security. Specifically, there are needs to improve health care workers' remuneration, provide more opportunities for specialization, and reduce waiting time for employment. It is our opinion that such multisectoral and multi-modal approaches will effectively halt and even reverse the on-going brain drain in the region, converting it to brain gain.