dat.steurer2006: Trials on Single-Agent Purine Analogues for the Treatment of...

In metadat: Meta-Analysis Datasets

Trials on Single-Agent Purine Analogues for the Treatment of Chronic Lymphocytic Leukaemia

Description

Results from 4 trials evaluating single-agent purine analogues in patients with chronic lymphocytic leukaemia.

Usage

dat.steurer2006

Format

The data frame contains the following columns:

author	character	first author
year	integer	publication year
Ne	integer	number of patients (purine antagonists)
Nc	integer	number of patients (alkylator-based)
HR	numeric	hazard ratio
lowHR	numeric	lower limit
uppHR	numeric	upper limit
lnHR	numeric	log hazard ratio
selnHR	numeric	standard error

Details

Steurer et al. (2006) conducted a Cochrane review to evaluate the effect of single-agent purine analogues for the treatment of chronic lymphocytic leukaemia. This dataset contains data from the main outcome, overall survival. Note, the hazard ratios and confidence limits have been reported in the Cochrane review with only two significant figures and were recalculated using the reported log hazard ratios and standard errors.

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

Concepts

medicine, oncology, hazard ratios

Author(s)

Guido Schwarzer, [e-mail], https://github.com/guido-s/

Source

Steurer, M., Pall, G., Richards, S., Schwarzer, G., Bohlius, J., & Greil, R. (2006). Purine antagonists for chronic lymphocytic leukaemia. Cochrane Database of Systematic Reviews, 3, CD004270. ⁠https://doi.org/10.1002/14651858.cd004270.pub2⁠

References

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

Examples

### Show dataset
dat.steurer2006

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

### Use RevMan 5 settings
oldset <- settings.meta("RevMan5")

### Conduct common effect meta-analysis
m1 <- metagen(lnHR, selnHR, data = dat.steurer2006,
  studlab = paste(author, year),
  sm = "HR", random = FALSE, n.e = Ne, n.c = Nc)
m1

### Same analysis using lower and upper confidence limits
m2 <- metagen(HR, lower = lowHR, upper = uppHR,
  data = dat.steurer2006, transf = FALSE,
  studlab = paste(author, year),
  sm = "HR", random = FALSE, n.e = Ne, n.c = Nc)
m2

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

## End(Not run)

metadat documentation built on April 29, 2026, 5:10 p.m.