Tools
Tools
Sarri, Grammati, Liu, Wei, Zabotka, Luke, Freitag, Andreas, Claire, Ravinder, Wangge, Grace, Elvidge, Jamie, Dawoud, Dalia, Bennett, Dimitri, Wen, Xuerong, Li, Xiaojuan, Rentsch, Christopher T., Uddin, Md Jamal, Ali, Sanni, Gokhale, Mugdha, Déruaz‐Luyet, Anouk, Moga, Daniela C., Guo, Jeff Jianfei, Zullo, Andrew R., Patorno, Elisabetta and Lin, Kueiyu Joshua (2023) 'Prognostic factors of COVID‐19: an umbrella review endorsed by the International Society for Pharmacoepidemiology'. Clinical Pharmacology & Therapeutics, Vol 114, Issue 3, pp. 604-613.
Full text not available from this repository.Abstract
During the coronavirus disease 2019 (COVID-19) pandemic, the urgency for updated evidence to inform public health and clinical care placed systematic literature reviews (SLRs) at the cornerstone of research. We aimed to summarize evidence on prognostic factors for COVID-19 outcomes through published SLRs and to critically assess quality elements in the findings' interpretation. An umbrella review was conducted via electronic databases from January 2020 to April 2022. All SLRs (and meta-analyses) in English were considered. Data screening and extraction were conducted by two independent reviewers. AMSTAR 2 tool was used to assess SLR quality. The study was registered with PROSPERO (CRD4202232576). Out of 4,564 publications, 171 SLRs were included of which 3 were umbrella reviews. Our primary analysis included 35 SLRs published in 2022, which incorporated studies since the beginning of the pandemic. Consistent findings showed that, for adults, older age, obesity, heart disease, diabetes, and cancer were more strongly predictive of risk of hospitalization, intensive care unit admission, and mortality due to COVID-19. Male sex was associated with higher risk of short-term adverse outcomes, but female sex was associated with higher risk of long COVID. For children, socioeconomic determinants that may unravel COVID-19 disparities were rarely reported. This review highlights key prognostic factors of COVID-19, which can help clinicians and health officers identify high-risk groups for optimal care. Findings can also help optimize confounding adjustment and patient phenotyping in comparative effectiveness research. A living SLR approach may facilitate dissemination of new findings. This paper is endorsed by the International Society for Pharmacoepidemiology.
| Item Type: | Article |
|---|---|
| Subjects: | WA Public Health > WA 105 Epidemiology WC Communicable Diseases > Virus Diseases > Viral Respiratory Tract Infections. Respirovirus Infections > WC 506 COVID-19 |
| Faculty: Department: | Clinical Sciences & International Health > International Public Health Department |
| Digital Object Identifer (DOI): | https://doi.org/10.1002/cpt.2977 |
| SWORD Depositor: | JISC Pubrouter |
| Depositing User: | JISC Pubrouter |
| Date Deposited: | 28 Sep 2023 09:20 |
| Last Modified: | 28 Sep 2023 09:20 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/22733 |
Statistics
Actions (login required)
 |
Edit Item |