gastadj: Individual data from the adjuvant GASTRIC meta-analysis

In surrosurv: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses

Individual data from the adjuvant GASTRIC meta-analysis

Description

The gastadj dataset contains individual data (overall and disease-free survival) of 3288 patients with resectable gastric cancer from 14 randomized trials of adjuvant chemotherapy.

Usage

data(gastadj)

Format

A dataframe with variables:

timeT:

Overall survival time (days).

statusT:

Overall survival indicator (0=censored, 1=death).

timeS:

Disease-free survival time (days).

statusS:

Disease-free survival indicator (0=censored, 1=progression on death).

trialref:

Trial indicator

trt:

Treatment arm (-0.5 = control, 0.5=chemotherapy).

id:

Patient identifier.

Source

The authors thank the GASTRIC (Global Advanced/Adjuvant Stomach Tumor Research International Collaboration) Group for permission to use their data. The investigators who contributed to GASTRIC are listed in Oba et al (2013) and GASTRIC (2010). The GASTRIC Group data are available within the surrosurv package for research purposes, under the conditions that (1) the research be scientifically appropriate, (2) the confidentiality of individual patient data be protected, (3) the results of the analyses be shared with the GASTRIC Group prior to public communication, (4) the source of data be fully acknowledged as above, and (5) resulting data and results be further shared with the research community.

References

Paoletti X, Oba K, Bang Y-J, et al. Disease-free survival as a surrogate for overall survival in adjuvant trials of gastric cancer: a meta-analysis. J Ntl Cancer Inst, 105(21):1600-7, 2013. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/jnci/djt270")}.

The GASTRIC group. Benefit of adjuvant chemotherapy for resectable gastric cancer: a meta-analysis. JAMA, 303(17):1729-37, 2010. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1001/jama.2010.534")}.

Buyse M, Molenberghs G, Paoletti Xavier et al. Statistical evaluation of surrogate endpoints with examples from cancer clinical trials. Biom J, 58(1):104-32, 2016. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/bimj.201400049")}

Examples

  ## Not run: 
    data('gastadj')
    allSurroRes <- surrosurv(gastadj, c('Clayton', 'PoissonTIa'), verbose = TRUE)
    convergence(allSurroRes)
    allSurroRes
    predict(allSurroRes)
    plot(allSurroRes)
  
## End(Not run)

surrosurv documentation built on April 14, 2023, 9:09 a.m.