metafor (version 3.0-2)

dat.collins1985b: Studies on the Effects of Diuretics in Pregnancy

Description

Results from 9 studies examining the effects of diuretics in pregnancy on various outcomes.

Usage

dat.collins1985b

Format

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

Details

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.

Examples

# NOT RUN {
### 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)
# }