COVID-19 outcomes in paediatric cancer: A large scale pooled meta-analysis of 984 cancer patients.
Amr Ehab El-QushayriAmira Yasmine BenmeloukaAbdullah DahyMohammad Rashidul HashanPublished in: Reviews in medical virology (2022)
We aimed to study the outcomes of COVID-19 in paediatric cancer patients. On 26 October 2021, we did a systematic search for relevant articles in seven electronic databases followed by manual search. We included cancer patients aged ≤18 years. Event rates and the 95% confidence interval (95%CI) were used to report the results. We included 21 papers after screening of 2759 records. The pooled rates of hospitalisation, intensive care unit (ICU) admission and mortality were 44% (95%CI: 30-59), 14% (95%CI: 9-21) and 9% (95%CI: 6-12), respectively. Moreover, subgroup analysis revealed that high income countries had better COVID-19 outcomes compared to upper middle income countries and lower middle income countries in terms of hospitalisation 30% (95%CI: 17-46), 60% (95%CI: 29-84) and 47% (95%CI: 36-58), ICU admission 7% (95%CI: 1-32), 13% (95%CI: 7-23) and 18% (95%CI: 6-41), and mortality 3% (95%CI: 2-5), 12% (95%CI: 8-18) and 13% (95%CI: 8-20), in order. In general, absence of specific pharmacologic intervention to prevent infection with the scarcity of vaccination coverage data among paediatric groups and its impact, high priority caution is required to avoid SARS-CoV-2 infection among paediatric cancer patients. Furthermore, our results highlight the importance of promoting care facilities for this vulnerable population in low and middle income regions to ensure quality care among cancer patients during pandemic crisis.
Keyphrases
- intensive care unit
- coronavirus disease
- sars cov
- emergency department
- healthcare
- systematic review
- physical activity
- mental health
- randomized controlled trial
- palliative care
- squamous cell carcinoma
- quality improvement
- public health
- coronary artery disease
- machine learning
- metabolic syndrome
- type diabetes
- cardiovascular disease
- deep learning
- chronic pain
- affordable care act
- insulin resistance
- single cell
- meta analyses
- pain management
- adipose tissue
- glycemic control
- health insurance
- childhood cancer