dat.furukawa2003: Studies on Low Dosage Tricyclic Antidepressants for the...

dat.furukawa2003R Documentation

Studies on Low Dosage Tricyclic Antidepressants for the Treatment of Depression

Description

Results on depression severity from 17 studies comparing low dosage tricyclic antidepressants (TCA) and placebo for the treatment of depression.

Usage

dat.furukawa2003

Format

The data frame contains the following columns:

author character First author with information on dosage in parentheses
Ne integer number of patients in low TCA group
Me numeric depression severity (low TCA)
Se numeric standard deviation (low TCA)
Nc integer number of patients in placebo group
Mc numeric depression severity (placebo)
Sc numeric standard deviation (placebo)

Details

Furukawa et al. (2003) carried out a systematic review comparing low dosage tricyclic antidepressants (TCA) with placebo for the treatment of depression. They reported the effect on presence/absence of depression and on depression severity at various time points. Here we focus on depression severity at four weeks. Most studies used some version of the Hamilton Depression Rating Scale, however, some studies used the Montgomery-Asberg Depression Rating Scale. Accordingly, it is not possible to pool the estimated effects directly.

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

Concepts

standardized mean differences

Author(s)

Guido Schwarzer, guido.schwarzer@uniklinik-freiburg.de, https://github.com/guido-s/

Source

Furukawa, T. A., McGuire, H., & Barbui, C. (2003). Low dosage tricyclic antidepressants for depression. Cochrane Database of Systematic Reviews, 3, CD003197. ⁠https://doi.org/10.1002/14651858.CD003197⁠

References

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

Examples

### Show first five studies
head(dat.furukawa2003, 5)

## Not run: 
### Load meta package
suppressPackageStartupMessages(library("meta"))

### Use RevMan5 settings
oldset <- settings.meta("RevMan5", digits = 2)

### Conduct random effects meta-analysis with Hedges' g as effect measure
mc2 <- metacont(Ne, Me, Se, Nc, Mc, Sc, common = FALSE,
                data = dat.furukawa2003, sm = "SMD")
mc2

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

## End(Not run)

metadat documentation built on April 4, 2025, 4:36 a.m.