Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-23T05:39:32.918Z Has data issue: false hasContentIssue false

Meta-analysis when only the median survival times are known: A comparison with individual patient data results

Published online by Cambridge University Press:  02 March 2005

Stefan Michiels
Affiliation:
Institut Gustave-Roussy
Pascal Piedbois
Affiliation:
Henri Mondor Hospital
Sarah Burdett
Affiliation:
MRC Clinical Trials Unit
Nathalie Syz
Affiliation:
Institut Gustave-Roussy
Lesley Stewart
Affiliation:
MRC Clinical Trials Unit
Jean-Pierre Pignon
Affiliation:
Institut Gustave-Roussy

Abstract

Background: The hazard ratio (HR) is the most appropriate measure for time to event outcomes such as survival. In systematic reviews, HRs can be calculated either from the raw trial data obtained as part of an individual patient data (IPD) meta-analysis or from the appropriate trial-level summary statistics. However, the information required for the latter are seldom reported in sufficient detail to allow reviewers to calculate HRs. In contrast, the median survival and survival rates at specific time points are frequently presented. We aimed to evaluate retrospectively the performance of meta-analyses using median survival times and survival rates by comparing them with meta-analyses using IPD to calculate HRs.

Methods: IPD from thirteen published meta-analyses (MAs) in cancers with high mortality rates were used. Median survival and survival rates were calculated from the IPD rather than taken from publications so that the same trials, patients, and extended follow-up are used in each analysis.

Results and Conclusions: We show that using median survival times or survival rates at a particular point in time are not reasonable surrogate measures for meta-analyses of survival outcomes and that, wherever possible, HRs should be calculated. Individual trial publications reporting on time to event outcomes, therefore, should provide more detailed statistical information, preferably logHRs and their variances, or their estimators.

Type
RESEARCH REPORTS
Copyright
© 2005 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Advanced Colorectal Cancer Meta-Analysis Project. 1994 Meta-analysis of randomized trials testing the biochemical modulation of fluorouracil by methotrexate in metastatic colorectal cancer. J Clin Oncol. 12: 960969.
Advanced Colorectal Cancer Meta-Analysis Project. 1992 Modulation of fluorouracil by leucovorin in patients with advanced colorectal cancer: Evidence in terms of response rate. J Clin Oncol. 10: 896903.
Altman DG, De Stavola BL, Love SB, Stepniewska KA. 1995 Review of survival analyses published in cancer journals. Br J Cancer. 72: 511518.Google Scholar
Arnott SJ, Duncan W, Gignoux M, et al. 1998 Preoperative radiotherapy in esophageal carcinoma: A meta-analysis using individual patient data (Oesophageal Cancer Collaborative Group). Int J Radiat Oncol Biol Phys. 41: 579583.Google Scholar
Auperin A, Arriagada R, Pignon JP, et al. 1999 Prophylactic cranial irradiation for patients with small-cell lung cancer in complete remission (Prophylactic Cranial Irradiation Overview Collaborative Group). N Engl J Med. 341: 476484.Google Scholar
Buyse M, Ryan LM. 1987 Issues of efficiency in combining proportions of deaths from several clinical trials. Stat Med. 6: 565576.Google Scholar
Chalmers I. 1993 The Cochrane Collaboration: Preparing, maintaining and disseminating systematic reviews of the effects of health care. Ann N Y Acad Sci. 703: 156165.Google Scholar
Dickersin K, Scherer R, Lefebvre C. 1994 Identifying relevant studies for systematic reviews. BMJ. 309: 12861291.Google Scholar
Duchateau L, Pignon JP, Bijnens L, et al. 2001 Individual patient-versus literature-based meta-analysis of survival data: Time to event and event rate at a particular time can make a difference, an example based on head and neck cancer. Control Clin Trials. 22: 538547.Google Scholar
Easterbrook PJ, Berlin JA, Gopalan R, Matthews DR. 1991 Publication bias in clinical research. Lancet. 337: 867872.Google Scholar
Glioma Meta-analysis Trialists (GMT) Group. 2002 Chemotherapy in adult high-grade glioma: A systematic review and meta-analysis of individual patient data from 12 randomised trials. Lancet. 359: 10111018.
Greenland S, Salvan A. 1990 Bias in the one-step method for pooling study results. Stat Med. 9: 247252.Google Scholar
Meta-Analysis Group in Cancer. 2001 Alpha-interferon does not increase the efficacy of 5-fluorouracil in advanced colorectal cancer. BMJ. 84: 611620.
Meta-Analysis Group in Cancer. 1996 Reappraisal of hepatic arterial infusion in the treatment of nonresectable liver metastases from colorectal cancer. J Natl Cancer Inst. 88: 252258.
Meta-Analysis Group in Cancer. 1998 Toxicity of fluorouracil in patients with advanced colorectal cancer: Effect of administration schedule and prognostic factors. J Clin Oncol. 163: 537541.
Moher D, Schulz KF, Altman DG. 2001 The CONSORT statement: Revised recommendations for improving the quality of reports of parallel-group randomised trials. Lancet. 357: 11911194.Google Scholar
Non-small Cell Lung Cancer Collaborative Group. 1995 Chemotherapy in non-small cell lung cancer a meta-analysis using updated data on individual patients from 52 randomised clinical trials. BMJ. 311: 899909.
Parmar MKB, Torri W, Stewart L. 1998 Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat Med. 17: 28152834.Google Scholar
Pignon JP, Arriagada R, Ihde DC, et al. 1992 A meta-analysis of thoracic radiotherapy for small-cell lung cancer. N Engl J Med. 327: 16181624.Google Scholar
Pignon JP, Hill C. 2001 Meta-analyses of randomised clinical trials in oncology. Lancet Oncol. 2: 475482.Google Scholar
PORT Meta-analysis Trialists Group. 1998 Postoperative radiotherapy in non-small cell lung cancer: Systematic review and meta-analysis of individual patient data from nine randomised controlled trials. Lancet. 352: 257263.
Simes RJ. 1987 Confronting publication bias: A cohort design for meta-analysis. Stat Med. 6: 1129.Google Scholar
Simon R. 1986 Confidence intervals for reporting results of clinical trials. Ann Intern Med. 105: 429435.Google Scholar
Stablein DM, Koutrouvelis IA. 1985 A two-sample test sensitive to crossing hazards in uncensored and singly censored data. Biometrics. 41: 643652.Google Scholar
Stewart LA, Parmar MKB. 1996; Bias in the analysis and reporting of randomized controlled trials. Int J Technol Assess Health Care. 12: 264275.Google Scholar
Stewart LA, Parmar MKB. 1993 Meta-analysis of the literature or of individual patient data: Is there a difference? Lancet. 341: 418422.Google Scholar
Tierney JF, Clarke M, Stewart LA. 2000 Is there bias in the publication of individual patient data meta-analyses? Int J Technol Assess Health Care. 16: 657667.Google Scholar
Tudur C, Williamson PR, Khan S, Best LY. 2001 The value of the aggregated data approach in meta-analysis with time-to-event outcomes. J R Statist Soc A. 164: 357370.Google Scholar
Vale CL, Tierney JF, Stewart LA. 2002 Effects of adjusting for censoring on meta-analyses of time-to-event outcomes. Int J Epidemiol. 31: 107111.Google Scholar
Whitehead A, Whitehead J. 1991 A general parametric approach to the meta-analysis of randomized clinical trials. Stat Med. 10: 16651677.Google Scholar
Yusuf S, Peto R, Lewis J, Collins R, Sleight P. 1985 Beta blockade during and after myocardial infarction: An overview of the randomized trials. Prog Cardiovasc Dis. 27: 335371.Google Scholar