Trials on High-Dose Chemotherapy with Autologous Stem Cell Transplantation in Aggressive Non-Hodgkin Lymphoma

Results on complete response from 14 trials evaluating high-dose chemotherapy with autologous stem cell transplantation in patients with aggressive non-Hodgkin lymphoma.

dat.greb2008

Format

The data frame contains the following columns:

study	character	study label
Ee	integer	complete responses (high-dose chemotherapy)
Ne	integer	number of patients (high-dose chemotherapy)
Ec	integer	complete responses (standard chemotherapy)
Nc	integer	number of patients (standard chemotherapy)

Details

Greb et al. (2008) conducted a Cochrane Review to assess the effects of high-dose chemotherapy with autologous stem cell transplantation as part of the first-line treatment of adult patients with aggressive non-Hodgkin lymphoma. The primary outcome was survival time; the binary outcome ‘complete response’ was one of several secondary outcomes. For binary outcomes, the Cochrane review used the risk ratio and the common effect model.

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

Source

Greb, A., Bohlius, J., Schiefer, D., Schwarzer, G., Schulz, H., & Engert, A. (2008). High-dose chemotherapy with autologous stem cell transplantation in the first line treatment of aggressive Non-Hodgkin Lymphoma (NHL) in adults. Cochrane Database of Systematic Reviews, 1, CD004024. https://doi.org/10.1002/14651858.cd004024.pub2

References

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

Author

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

Concepts

medicine, oncology, risk ratios

Examples

### Show first five studies
head(dat.greb2008, 5)
#>              study  Ee  Ne  Ec  Nc
#> 1         De Souza  14  28  10  26
#> 2           Gianni  46  48  35  50
#> 3     Gisselbrecht 119 189 116 181
#> 4 Intragumtornchai  10  23   9  25
#> 5           Kaiser 110 158  97 154

### Load meta package
suppressPackageStartupMessages(library(meta))

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

### Conduct common effect meta-analysis with risk ratio as effect measure
mb1 <- metabin(Ee, Ne, Ec, Nc,
  data = dat.greb2008, studlab = study,
  label.e = "High dose", label.c = "Standard",
  label.left = "Favours standard chemotherapy",
  label.right = "Favours high dose chemotherapy",
  col.label.left = "red", col.label.right = "green")
mb1
#> Number of studies: k = 14
#> Number of observations: o = 2126 (o.e = 1072, o.c = 1054)
#> Number of events: e = 1366
#> 
#>                        RR       95%-CI    z p-value
#> Fixed effect model   1.11 [1.04, 1.18] 3.20  0.0014
#> Random effects model 1.12 [1.03, 1.22] 2.71  0.0067
#> 
#> Quantifying heterogeneity (with 95%-CIs):
#>  tau^2 = 0.008; tau = 0.0888; I^2 = 36% [0%, 66%]; H = 1.25 [1.00, 1.71]
#> 
#> Test of heterogeneity:
#>      Q d.f. p-value
#>  20.19   13  0.0906
#> 
#> Details of meta-analysis methods:
#> - Mantel-Haenszel method (fixed effect model)
#> - Inverse variance method (random effects model)
#> - DerSimonian-Laird estimator for tau^2
#> - Mantel-Haenszel estimator used in calculation of Q and tau^2 (like RevMan 5)
#> - Calculation of I^2 based on Q

### Create forest plot
forest(mb1)


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