dat.dogliotti2014 {metadat} | R Documentation |
Studies on Antithrombotic Treatments to Prevent Strokes
Description
Results from 20 trials examining the effectiveness of antithrombotic treatments to prevent strokes in patients with non-valvular atrial fibrillation.
Usage
dat.dogliotti2014
Format
The data frame contains the following columns:
study | character | study label |
id | numeric | study ID |
treatment | character | treatment |
stroke | numeric | number of strokes |
total | numeric | number of individuals |
Details
This data set comes from a systematic review aiming to estimate the effects of eight antithrombotic treatments including placebo in reducing the incidence of major thrombotic events in patients with non-valvular atrial fibrillation (Dogliotti et al., 2014).
The review included 20 studies with 79,808 participants, four studies are three-arm studies. The primary outcome is stroke reduction (yes / no).
Concepts
medicine, odds ratios, network meta-analysis, Mantel-Haenszel method
Author(s)
Guido Schwarzer, sc@imbi.uni-freiburg.de, https://github.com/guido-s/
Source
Dogliotti, A., Paolasso, E., & Giugliano, R. P. (2014). Current and new oral antithrombotics in non-valvular atrial fibrillation: A network meta-analysis of 79808 patients. Heart, 100(5), 396–405. https://doi.org/10.1136/heartjnl-2013-304347
See Also
pairwise
, metabin
, netmeta
, netmetabin
Examples
### Show first 7 rows / 3 studies of the dataset
head(dat.dogliotti2014, 7)
## Not run:
### Load netmeta package
suppressPackageStartupMessages(library(netmeta))
### Print odds ratios and confidence limits with two digits
settings.meta(digits = 2)
### Change appearance of confidence intervals
cilayout("(", "-")
### Transform data from long arm-based format to contrast-based
### format. Argument 'sm' has to be used for odds ratio as summary
### measure; by default the risk ratio is used in the metabin function
### called internally.
pw <- pairwise(treat = treatment, n = total, event = stroke,
studlab = study, data = dat.dogliotti2014, sm = "OR")
### Print log odds ratios (TE) and standard errors (seTE)
head(pw, 5)[, 1:5]
### Conduct network meta-analysis (NMA) with placebo as reference
net <- netmeta(pw, ref = "plac")
### Details on excluded study
selvars <- c("studlab", "event1", "n1", "event2", "n2")
subset(pw, studlab == "WASPO, 2007")[, selvars]
### Show network graph
netgraph(net, seq = "optimal", number = TRUE)
### Conduct Mantel-Haenszel NMA
net.mh <- netmetabin(pw, ref = "plac")
### Compare results of inverse variance and Mantel-Haenszel NMA
nb <- netbind(net, net.mh, random = FALSE,
name = c("Inverse variance", "Mantel-Haenszel"))
forest(nb, xlim = c(0.15, 2), at = c(0.2, 0.5, 1, 2))
### Print and plot results for inverse variance NMA
net
forest(net)
## End(Not run)