dat.ck: Example data set: Comparing creatine kinase levels between...

dat.ckR Documentation

Example data set: Comparing creatine kinase levels between COVID-19 survivors and nonsurvivors (cleaned version)

Description

A data set from the meta-analysis of Katzenschlager et al. (2021). Specifically, this data set corresponds to the meta-analysis comparing creatine kinase (CK) levels of COVID-19 infected patients who died and those who survived. The unit of measurement for the CK levels is U/L. The rows in the data set correspond to the primary studies. Compared to the "raw" version (i.e., dat.asat_raw), this data set excludes the primary study of Qi et al. (2021) due to its small sample size in the nonsurvivor group.

Usage

dat.ck

Format

A data frame with 17 rows and 13 columns:

author first author of the primary study and the journal name.
n.g1 number of subjects (nonsurvivor group).
q1.g1 first quartile of the CK levels (nonsurvivor group).
med.g1 median CK level (nonsurvivor group).
q3.g1 third quartile of the CK levels (nonsurvivor group).
mean.g1 mean CK level (nonsurvivor group).
sd.g1 standard deviation of the CK levels (nonsurvivor group).
n.g2 number of subjects (survivor group).
q1.g2 first quartile of the CK levels (survivor group).
med.g2 median CK level (survivor group).
q3.g2 third quartile of the CK levels (survivor group).
mean.g2 mean CK level (survivor group).
sd.g2 standard deviation of the CK levels (survivor group).

References

Katzenschlager S., Zimmer A.J., Gottschalk C., Grafeneder J., Seitel A., Maier-Hein L., Benedetti A., Larmann J., Weigand M.A., McGrath S., and Denkinger C.M. (2021). Can we predict the severe course of COVID-19 - A systematic review and meta-analysis of indicators of clinical outcome? PLOS One, 16, e0255154.

Qi X., Liu Y., Wang J., Fallowfield J.A., Wang J., Li X., Shi J., Pan H., Zou S., Zhang H., and others. (2021). Clinical course and risk factors for mortality of COVID-19 patients with pre-existing cirrhosis: A multicentre cohort study, Gut, 70, 433–436.


metamedian documentation built on Sept. 17, 2023, 1:06 a.m.