Estimating Number of Events from the Kaplan–Meier Curve for Incorporation in a Literature-Based Meta-Analysis: What You Don't See You Can't Get!
Article first published online: 24 MAY 2004
Volume 56, Issue 3, pages 886–892, September 2000
How to Cite
Duchateau, L., Collette, L., Sylvester, R. and Pignon, J.-P. (2000), Estimating Number of Events from the Kaplan–Meier Curve for Incorporation in a Literature-Based Meta-Analysis: What You Don't See You Can't Get!. Biometrics, 56: 886–892. doi: 10.1111/j.0006-341X.2000.00886.x
- Issue published online: 24 MAY 2004
- Article first published online: 24 MAY 2004
- Received July 1999. Revised October 1999. Accepted December 1999.
- Kaplan-Meier curve;
- individual patient-based meta-analysis;
- Mantel-Haenszel test;
- Odds ratio;
- Time-to-event meta-analysis
Summary. In literature-based meta-analyses of time-to-event data, the number of events in the treated and control groups together with the total number of patients randomized to the two treatment arms are often used as summary statistics. If interest is in mortality at a specified moment in time, the number of events can, in most cases, only be obtained from the Kaplan–Meier curve. The estimated number of events, however, is typically larger than the true number of events. The effect of this overestimation on the Mantel–Haenszel test and the odds ratio is studied in this paper. From these results, it can be concluded that the number of events should not be estimated from the Kaplan–Meier curves for meta-analytic purposes unless virtually no patients are lost to follow-up or censored and there are still many patients at risk in the two groups at the time at which the number of events is to be determined.