Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (1)
Right arrow Request Permissions
Google Scholar
Right arrow Articles by Niimi, M.
Right arrow Articles by Akaza, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Niimi, M.
Right arrow Articles by Akaza, H.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Japanese Journal of Clinical Oncology 32:19-26 (2002)
© 2002 Foundation for Promotion of Cancer Research

The Influence of Handling Censored Data on Estimating Progression-free Survival in Cancer Clinical Trials (JCOG9913-A)

Miyuki Niimi1,2, Seiichiro Yamamoto1, Haruhiko Fukuda1, Naoki Ishizuka1 and Hideyuki Akaza2,+

1Japan Clinical Oncology Group Data Center, Cancer Information and Epidemiology Division, National Cancer Center Research Institute, Tokyo and 2Department of Urology, Institute of Clinical Medicine, University of Tsukuba, Ibaraki, Japan

Background: Progression-free survival (PFS) is a common endpoint in cancer clinical trials. This study was undertaken to assess the impact of data errors and data handling on the statistical estimation of PFS.

Methods: Data from four trials conducted by the Japan Clinical Oncology Group were examined. Three types of data handling methods were defined: (1) data handling method A (METHOD-A), the collected event data are used as much as possible, (2) METHOD-C, only reliable data with firm evidence are used, and (3) METHOD-B is intermediate between METHOD-A and METHOD-C. To assess the impact of each of the three methods, Kaplan–Meier survival curves, median PFS, proportion of PFS, log-rank p values and hazard ratios were estimated.

Results: In three trials that collected PFS data periodically, no remarkable differences in median PFS and the proportion of PFS were observed. In one trial with non-periodic data cleaning, however, the ratio of median PFS by METHOD-C to that by METHOD-B was 0.85, the maximum difference of proportion of PFS between METHOD-C and METHOD-B was 12.0% and the largest spread in PFS curves amongst the three methods was observed in this trial. In all trials, log-rank p values and hazard ratios for between arm comparisons did not differ between the three methods.

Conclusions: Periodic data management can reduce errors in comparisons of PFS and is a critical requirement when using PFS as a major endpoint. Furthermore, proper data handling is essential in the estimation of patient benefit and caution is needed when making clinical decisions based on PFS.

+ For reprints and all correspondence: Miyuki Niimi, Japan Clinical Oncology Group Data Center, Cancer Information and Epidemiology Division, National Cancer Center Research Institute, 1–1 Tsukiji 5-chome, Chuo-ku, Tokyo 104-0045, Japan. E-mail: mniimi@gan2.ncc.go.jp


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Jpn J Clin OncolHome page
J. Sakamoto and S. Teramukai
Data Handling in Cancer Clinical Trials--How We Can Minimize Potential Biases
Jpn. J. Clin. Oncol., January 1, 2002; 32(1): 1 - 2.
[Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.