dat.franchini2012 {metadat}R Documentation

Studies on Dopamine Agonists to Reduce “Off-Time” in Patients with Advanced Parkinson Disease

Description

Results from 7 trials examining the effectiveness of four dopamine agonists and placebo to reduce “off-time” in patients with advanced Parkinson disease.

Usage

dat.franchini2012

Format

The data frame contains the following columns:

Study character study label
Treatment1 character treatment 1
y1 numeric treatment effect arm 1
sd1 numeric standard deviation arm 2
n1 integer sample size arm 1
Treatment2 character treatment 2
y2 numeric treatment effect arm 2
sd2 numeric standard deviation arm 2
n2 integer sample size arm 1
Treatment3 character treatment 3
y3 numeric treatment effect arm 3
sd3 numeric standard deviation arm 2
n3 integer sample size arm 1

Details

This network meta-analysis compared the effectiveness of four active treatments and placebo in patients with advanced Parkinson disease (Franchini et al., 2012). The outcome is mean lost work-time reduction in patients given dopamine agonists as adjunct therapy. The data are given as sample size, mean, and standard deviation in each trial arm.

This data set was used as an example in the supplemental material of Dias et al. (2013) where placebo is coded as 1 and the four active drugs as 2 to 5.

Concepts

medicine, raw mean differences, network meta-analysis

Author(s)

Guido Schwarzer, sc@imbi.uni-freiburg.de, https://github.com/guido-s/

Source

Dias, S., Sutton, A. J., Ades, A. E., & Welton, N. J. (2013). Evidence synthesis for decision making 2: A generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Medical Decision Making, 33(5), 607–617. ⁠https://doi.org/10.1177/0272989X12458724⁠

Franchini, A. J., Dias, S., Ades, A. E., Jansen, J. P., & Welton, N. J. (2012). Accounting for correlation in network meta-analysis with multi-arm trials. Research Synthesis Methods, 3(2), 142–160. ⁠https://doi.org/10.1002/jrsm.1049⁠

Examples

### Show results from first three studies; third study is a three-arm
### study
head(dat.franchini2012, 3)

## Not run: 

### Load netmeta package
suppressPackageStartupMessages(library(netmeta))

### Print mean differences with two digits
settings.meta(digits = 2)

### Transform data from wide arm-based format to contrast-based
### format. Argument 'sm' must not be provided as the mean difference
### is the default in R function metacont() called internally.
pw <- pairwise(list(Treatment1, Treatment2, Treatment3),
  n = list(n1, n2, n3),
  mean = list(y1, y2, y3),
  sd = list(sd1, sd2, sd3),
  data = dat.franchini2012, studlab = Study, sm = "MD")

### Show calculated mean differences (TE) for first three studies
pw[1:5, c(3:7, 10, 1)]

### Conduct network meta-analysis
net <- netmeta(pw)
net

### Draw network graph
netgraph(net, points = TRUE, cex.points = 3, cex = 1.5,
  plastic = TRUE, thickness = "se.fixed",
  iterate = TRUE, start = "eigen")


## End(Not run)

[Package metadat version 1.2-0 Index]