metafor (version 1.9-9)

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	ned.xci
numeric	number of neonatal deaths in control/placebo group

Source

Collins, R., Yusuf, S., & Peto, R. (1985). Overview of randomised trials of diuretics in pregnancy. British Medical Journal, 290, 17--23.

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

### load data
dat <- get(data(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)