metadat (version 1.4-0)

dat.spooner2002: Studies on Nedocromil Sodium for Preventing Exercise-Induced Bronchoconstriction

Description

Results from 17 trials, 11 studies in children and 6 studies in adults, reporting the maximum fall in the forced expiratory volume in 1 second (FEV_1) over the course of follow-up, expressed as a percentage.

Usage

dat.spooner2002

Format

The data frame contains the following columns:

author	character	first author
year	character	year of publication
Ne	integer	number of participants in nedocromil sodium group
Me	numeric	maximum fall in the FEV_1 (nedocromil sodium)
Se	numeric	standard deviation (nedocromil sodium)
Nc	integer	number of participants in placebo group
Mc	numeric	maximum fall in the FEV_1 (placebo)
Sc	numeric	standard deviation (placebo)
agegroup	factor	age group (children or adults)

Author

Guido Schwarzer, , https://github.com/guido-s/

Concepts

raw mean differences, subgroup analysis

Details

Spooner et al. (2002) conducted a Cochrane review comparing nedocromil sodium (experimental treatment) with placebo (control) for preventing exercise-induced bronchoconstriction. Primary outcome was the maximum fall in the forced expiratory volume in 1 second (FEV_1) over the course of follow-up, expressed as a percentage. This outcome is available for 17 studies, 11 studies in children and 6 studies in adults. For each study, the mean value, standard deviation, and sample size are reported for both the experimental and control group. The authors conducted a random-effects meta-analysis with the mean difference as effect measure, i.e.\ mean value in the nedocromil sodium group minus mean value in the placebo group.

This data set is used as an example in Schwarzer et al. (2015).

References

Schwarzer, G., Carpenter, J. R., & Rücker, G. (2015). Meta-analysis with R. Cham, Switzerland: Springer.

Examples

### Show first five studies
head(dat.spooner2002, 5)

if (FALSE) {
### Load meta package
suppressPackageStartupMessages(library("meta"))

### Use settings from RevMan5
oldset <- settings.meta("RevMan5")

### Conduct random effects meta-analysis with age subgroups
mc1 <- metacont(Ne, Me, Se, Nc, Mc, Sc,
                data = dat.spooner2002, studlab = paste(author, year),
                subgroup = agegroup, print.subgroup.name = FALSE,
                label.e = "Nedocromil sodium", label.c = "Placebo",
                common = FALSE)
mc1

### Use previous settings
settings.meta(oldset)
}