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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!

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Duchateau, L. Collette, Laurence Sylvester, Richard J. [UCL] Pignon, JP

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.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès restreint
Publication date 2000
Language Anglais
Journal information "Biometrics" - Vol. 56, no. 3, p. 886-892 (2000)
Peer reviewed yes
Publisher International Biometric Soc (Washington)
issn 0006-341X
e-issn 1541-0420
Publication status Publié
Affiliation UCL
Keywords bias ; censoring ; Kaplan-Meier curve ; literature-based and individual patient-based meta-analysis ; Mantel-Haenszel test ; odds ratio ; time-to-event meta-analysis
Links
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Bibliographic reference Duchateau, L. ; Collette, Laurence ; Sylvester, Richard J. ; Pignon, JP. 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!. In: Biometrics, Vol. 56, no. 3, p. 886-892 (2000)
Permanent URL http://hdl.handle.net/2078.1/43353