We present a new command, metacumbounds, for the estimation of trial sequential monitoring boundaries in cumulative meta-analyses. The approach is based on the Lan–DeMets method for estimating group sequential boundaries in individual randomized controlled trials by using the package ldbounds in R statistical software. Through Stata's metan command, metacumbounds plots the Lan–DeMets bounds, z-values, and p-values obtained from both fixed and random-effects cumulative meta-analyses. The analysis can be performed with count data or on the hazard scale for time-to-event data.
Advanced Bladder Cancer Meta-analysis Collaboration.2011. Neoadjuvant cisplatin for advanced bladder cancer. Cochrane Database of Systematic Reviews6: CD001426.
2.
ArmitageP.1969. Sequential analysis in therapeutic trials. Annual Review of Medicine20: 425–430.
3.
BarringtonK. J.2000. Umbilical artery catheters in the newborn: Effects of position of the catheter tip. Cochrane Database of Systematic Reviews2: CD000505.
4.
BrokJ., ThorlundK., GluudC., and WetterslevJ.2008. Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses. Journal of Clinical Epidemiology61: 763–769.
5.
DemetsD. L., and Gordon LanK. K.1994. Interim analysis: The alpha spending function approach. Statistics in Medicine13: 1341–1352.
6.
Gordon LanK. K., and DemetsD. L.1983. Discrete sequential boundaries for clinical trials. Biometrika70: 659–663.
7.
HarrisR. J., BradburnM. J., DeeksJ. J., HarbordR. M., AltmanD. G., and SterneJ. A. C.2008. metan: Fixed- and random-effects meta-analysis. Stata Journal8: 3–28.
8.
LachinJ. M., and FoulkesM. A.1986. Evaluation of sample size and power for analyses of survival with allowance for non-uniform patient entry, losses to follow-up, noncompliance, and stratification. Biometrics42: 507–519.
9.
PocockS. J.1977. Group sequential methods in the design and analysis of clinical trials. Biometrika64: 191–199.
10.
PogueJ. M., and YusufS.1997. Cumulating evidence from randomized trials: Utilizing sequential monitoring boundaries for cumulative meta-analysis. Controlled Clinical Trials18: 580–593.
11.
PogueJ. M., and YusufS.1998. Overcoming the limitations of current meta-analysis of randomised controlled trials. Lancet351: 47–52.
12.
ReboussinD. M., DeMetsD. L., KimK., and LanK. K. G.2000. Computations for group sequential boundaries using the Lan–DeMets spending function method. Controlled Clinical Trials21: 190–207.
13.
TierneyJ. F., StewartL. A., GhersiD., BurdettS., and SydesM. R.2007. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials8: 16.
14.
WetterslevJ., ThorlundK., BrokJ., and GluudC.2008. Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis. Journal of Clinical Epidemiology61: 64–75.
