\title{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.}
\bold{id}                \tab \code{character} \tab registry number \cr
\bold{acronym}           \tab \code{character} \tab shortened registry number \cr
\bold{patient_setting}   \tab \code{character} \tab patient setting \cr
\bold{blinding_exact}    \tab \code{character} \tab study blinding \cr
\bold{high_dose}         \tab \code{character} \tab high or low dose of medication \cr
\bold{published}         \tab \code{character} \tab publication status \cr
\bold{hcq_cq}            \tab \code{character} \tab medication type (hcq = hydroxychloroquine or cq = chloroquine) \cr
\bold{hcq_arm_event}     \tab \code{numeric}   \tab number of deaths in the treatment group \cr
\bold{hcq_arm_total}     \tab \code{numeric}   \tab number of patients in the treatment group \cr
\bold{control_arm_event} \tab \code{numeric}   \tab number of deaths in the control group \cr
\bold{control_arm_total} \tab \code{numeric}   \tab number of patients in the control group \cr
\bold{control}           \tab \code{character} \tab control group type (standard of care or placebo)
the dataset includes the results from 33 published and unpublished randomized clinical trials that examined the effectiveness of hydroxychloroquine or chloroquine in patients with covid-19.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.
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. \verb{https://doi.org/10.1038/s41467-021-22446-z}
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. \verb{https://doi.org/10.17605/osf.io/qesv4}
w. kyle hamilton \email{whamilton@ucmerced.edu} \url{https://kylehamilton.com}
# calculate log odds ratios and corresponding sampling variances
dat <- escalc(measure="or", ai=hcq_arm_event, n1i=hcq_arm_total,
res_hcq <- rma(yi, vi, subset=(hcq_cq=="hcq"), slab = id, data=dat)
res_cq <- rma(yi, vi, subset=(hcq_cq=="cq"), slab = id, data=dat)