covid19: Meta-analysis: Observational studies assessing the impact of...

In jarbes: Just a Rather Bayesian Evidence Synthesis

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, Cochrane 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

jarbes documentation built on March 18, 2022, 7:39 p.m.