| covid19 {jarbes} | R Documentation |
Meta-analysis: Observational studies assessing the impact of risk factors on the severity and mortality of COVID-19 cases
Description
Meta-analysis of 40 Observational Studies from PubMed, Cocharane Library and SciELO databases that assessed the impact of diabetes, hypertension, cardiovascular disease, and the use of ACEI/ARB on severity and mortality of COVID-19 cases.
Format
A dataframe with 89 rows and 12 columns. Each row represents study results, the columns are:
- author
Principal author and year of publication.
- endpoint
Endoint: severity or mortality.
- risk.factor
Possible risk factors: diabetes, hypertension, cardiovascular, ACE_ARB.
- event.e
Number of events in the group with risk factor.
- n.e
Number of patients in the group with risk factor.
- event.c
Number of events in the group without risk factor.
- n.c
Number of patients in the group with risk factor.
- design
Study design: Case Series, Cross Sectional and Retrospective Cohort.
- TE
Log Odds Ratio
- seTE
Standard Error of the Log Odds Ratio
- logitPc
Logit transformation of the proportion of events in the control group.
- N
Total number of patients.
Source
de Almeida-Pititto, B., Dualib, P.M., Zajdenverg, L. et al. Severity and mortality of COVID 19 in patients with diabetes, hypertension and cardiovascular disease: a meta-analysis. Diabetol Metab Syndr 12, 75 (2020). https://doi.org/10.1186/s13098-020-00586-4