Studies on the Effects of Diuretics in Pregnancy
Results from 9 studies examining the effects of diuretics in pregnancy on various outcomes.
dat.collins1985b
The data frame contains the following columns:
id | numeric |
study number |
author | character |
study author(s) |
year | numeric |
publication year |
pre.nti | numeric |
number of women in treatment group followed up for pre-eclampsia outcome |
pre.nci | numeric |
number of women in control/placebo group followed up for pre-eclampsia outcome |
pre.xti | numeric |
number of women in treatment group with any form of pre-eclampsia |
pre.xci | numeric |
number of women in control/placebo group with any form of pre-eclampsia |
oedema | numeric |
dummy variable indicating whether oedema was a diagnostic criterion |
fup.nti | numeric |
number of women in treatment group followed up for mortality outcomes |
fup.nci | numeric |
number of women in control/placebo group followed up for mortality outcomes |
ped.xti | numeric |
number of perinatal deaths in treatment group |
ped.xci | numeric |
number of perinatal deaths in control/placebo group |
stb.xti | numeric |
number of stillbirths in treatment group |
stb.xci | numeric |
number of stillbirths in control/placebo group |
ned.xti | numeric |
number of neonatal deaths in treatment group |
ned.xci | numeric |
number of neonatal deaths in control/placebo group |
The 9 studies in this dataset examined the effects of diuretics in pregnancy on various outcomes, including the presence of any form of pre-eclampsia, perinatal death, stillbirth, and neonatal death.
Collins, R., Yusuf, S., & Peto, R. (1985). Overview of randomised trials of diuretics in pregnancy. British Medical Journal, 290, 17–23.
### copy data into 'dat' dat <- dat.collins1985b ### calculate (log) odds ratio and sampling variance dat <- escalc(measure="OR", n1i=pre.nti, n2i=pre.nci, ai=pre.xti, ci=pre.xci, data=dat) summary(dat, digits=2, transf=exp) ### meta-analysis using Peto's method for any form of pre-eclampsia rma.peto(n1i=pre.nti, n2i=pre.nci, ai=pre.xti, ci=pre.xci, data=dat, digits=2) ### meta-analysis including only studies where oedema was not a diagnostic criterion rma.peto(n1i=pre.nti, n2i=pre.nci, ai=pre.xti, ci=pre.xci, data=dat, digits=2, subset=(oedema==0)) ### meta-analyses of mortality outcomes (perinatal deaths, stillbirths, and neonatal deaths) rma.peto(n1i=fup.nti, n2i=fup.nci, ai=ped.xti, ci=ped.xci, data=dat, digits=2) rma.peto(n1i=fup.nti, n2i=fup.nci, ai=stb.xti, ci=stb.xci, data=dat, digits=2) rma.peto(n1i=fup.nti, n2i=fup.nci, ai=ned.xti, ci=ned.xci, data=dat, digits=2)
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