dat.axfors2021 {metadat}

Mortality Outcomes with Hydroxychloroquine and Chloroquine in COVID-19 from an International Collaborative Meta-Analysis of Randomized Trials

Description

Results from 33 trials examining the effectiveness of hydroxychloroquine or chloroquine in patients with COVID-19.

Usage

dat.axfors2021

Format

The data frame contains the following columns:

id	character	registry number
acronym	character	shortened registry number
patient_setting	character	patient setting
blinding_exact	character	study blinding
high_dose	character	high or low dose of medication
Published	character	publication status
hcq_cq	character	medication type (hcq = hydroxychloroquine or cq = chloroquine)
hcq_arm_event	numeric	number of deaths in the treatment group
hcq_arm_total	numeric	number of patients in the treatment group
control_arm_event	numeric	number of deaths in the control group
control_arm_total	numeric	number of patients in the control group
Control	character	control group type (Standard of Care or Placebo)

Details

The dataset includes the results from 33 published and unpublished randomized clinical trials that examined the effectiveness of hydroxychloroquine or chloroquine in patients with COVID-19. The results given here are focused on the total mortality in the treatment versus control groups.

Concepts

medicine, covid-19, odds ratios

Author(s)

W. Kyle Hamilton [e-mail] https://kylehamilton.com

Source

Axfors, C., Schmitt, A., Janiaud, P., van ’t Hooft, J., Moher, D., Goodman, S., … Hemkens, L. G. (2021, March 9). Hydroxychloroquine and chloroquine for survival in COVID-19: An international collaborative meta-analysis of randomized trials. ⁠https://doi.org/10.17605/OSF.IO/QESV4⁠

References

Axfors, C., Schmitt, A. M., Janiaud, P., van’t Hooft, J., Abd-Elsalam, S., Abdo, E. F., Abella, B. S., Akram, J., Amaravadi, R. K., Angus, D. C., Arabi, Y. M., Azhar, S., Baden, L. R., Baker, A. W., Belkhir, L., Benfield, T., Berrevoets, M. A. H., Chen, C.-P., Chen, T.-C., … Hemkens, L. G. (2021). Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials. Nature Communications, 12(1), 2349. ⁠https://doi.org/10.1038/s41467-021-22446-z⁠

Examples

# copy data into 'dat' and examine data
dat <- dat.axfors2021
dat

## Not run: 

# load metafor package
library(metafor)

# calculate log odds ratios and corresponding sampling variances
dat <- escalc(measure="OR", ai=hcq_arm_event, n1i=hcq_arm_total,
                            ci=control_arm_event, n2i=control_arm_total, data=dat)

# meta-analysis Hydroxychloroquine
res_hcq <- rma(yi, vi, subset=(hcq_cq=="hcq"), slab = id, data=dat)
print(res_hcq, digits=2)

# meta-analysis Chloroquine
res_cq <- rma(yi, vi, subset=(hcq_cq=="cq"), slab = id, data=dat)
print(res_cq, digits=2)


## End(Not run)