2021
DOI: 10.1016/j.amsu.2021.102204
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Global prevalence and determinants of mortality among patients with COVID-19: A systematic review and meta-analysis

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Cited by 48 publications
(68 citation statements)
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“…This estimation is upper than large cohort study that reported in-hospital death due to COVID-19 in China [8,9] and lower than study reported in in-hospital mortality in USA [11][12][13], Brazil [14], Spain [15][16][17], France [18,19] and Italy [20]. This prevalance is also lower than pooled meta prevalence of in-hospital mortality in patients with COVID-19 in the world [21].…”
Section: Discussionmentioning
confidence: 66%
See 1 more Smart Citation
“…This estimation is upper than large cohort study that reported in-hospital death due to COVID-19 in China [8,9] and lower than study reported in in-hospital mortality in USA [11][12][13], Brazil [14], Spain [15][16][17], France [18,19] and Italy [20]. This prevalance is also lower than pooled meta prevalence of in-hospital mortality in patients with COVID-19 in the world [21].…”
Section: Discussionmentioning
confidence: 66%
“…The large cohort study in China ((9.6%)[8], 3.98% [9]), USA (8.2% [10], 18.58% [11], 45.11% [12], 22.77% [13]), Brazil (26.82% [14], Spain (21.3% [15], 20.90%[16], 21.41% [17]), France (16.87% [18], 27.72% [19]), Italy (28% [20]) reported various prevalence of in-hospital death due to COVID-19. Abate et al in a meta analysis study showed that the pooled prevalence of inhospital mortality in patients with coronavirus disease was 15% (95% CI: 13 to 17) [21]. in-hospital death is one of the qualitative indexes, which can be used to assess the resilience of a health system in Crisis situations.…”
Section: Contextmentioning
confidence: 99%
“…The highest COVID-19 case fatality rate is among the population with cardiovascular diseases and diabetes (Abate, Checkol & Mantefardo, 2021). Therefore, the Cardiovasc death rate (CARD) and diabetes prevalence (DIABET) values as at the beginning of 2020 were used as factors affecting the effectiveness of the fight against the pandemic (Hasell et al, 2020).…”
Section: Research Sample and The Results Processing Methodsmentioning
confidence: 99%
“…But as evidenced by the results of a study (Windsor et al, 2020), instead of a positive influence on the effectiveness of the fight against the virus, a pattern was revealed that more developed countries were more affected by the pandemic than less developed ones. H5: the people power characteristics of the population determine the effectiveness of the fight against a pandemic: average age, average life expectancy, and health status (Abate, Checkol & Mantefardo, 2021;Polidori et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…По данным других исследований полиморбидность также являлась предиктором неблагоприятного течения заболевания. По данным метаанализа Abate SM, et al, смертность среди госпитализированных пациентов с COVID-19 была в 2 раза выше у пациентов с какими-либо сопутствующими заболеваниями по сравнению с теми, у которых не было сопутствующих заболеваний, ОР =2,20 (95% ДИ 1,75-2,77) [15]. По данным регистра Cho SI, et al, индекс коморбидности Чарлсона (ИКЧ) с поправкой на возраст коррелировал со смертностью пациентов, и порог ИКЧ >3,5 давал наилучшую точку отсечения для прогнозирования смертности [40].…”
Section: клиническая и исследовательская медицинаunclassified