1999
DOI: 10.1038/sj.bmt.1701600
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Retrospective survival analysis and cost-effectiveness evaluation of second allogeneic bone marrow transplantation in patients with acute leukemia

Abstract: Summary:The therapeutic options for patients with acute leukemia who relapse after the initial transplant include second bone marrow transplantation (2BMT) and conventional chemotherapy (CC). In this work, we conducted an analysis of published survival data and we evaluated the cost-effectiveness of 2BMT in comparison with CC. We retrieved survival information on 167 patients treated with 2BMT and 299 patients treated with CC. Survival figures were derived from individual patient data and were compared between… Show more

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Cited by 22 publications
(12 citation statements)
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References 28 publications
(98 reference statements)
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“…In particular, the data of individual survivals were derived either from the original raw data provided by the trial's authors or from the information contained in the original survival graphs. A number of survival meta-analyses have already been published, [10][11][12][13][14][15][16][17] in which approximated methods have been used to reconstruct individual survival times from published information (such as the Kaplan-Meier graphs, the text of the article, the tables showing patients at risk at various follow-up times and so on). Formal methods have also been reported wherein a computer program is used to analyse KaplanMeier graphs to estimate the time distribution of the events and of the terminations of the follow-up.…”
Section: Literature Searchmentioning
confidence: 99%
See 1 more Smart Citation
“…In particular, the data of individual survivals were derived either from the original raw data provided by the trial's authors or from the information contained in the original survival graphs. A number of survival meta-analyses have already been published, [10][11][12][13][14][15][16][17] in which approximated methods have been used to reconstruct individual survival times from published information (such as the Kaplan-Meier graphs, the text of the article, the tables showing patients at risk at various follow-up times and so on). Formal methods have also been reported wherein a computer program is used to analyse KaplanMeier graphs to estimate the time distribution of the events and of the terminations of the follow-up.…”
Section: Literature Searchmentioning
confidence: 99%
“…Cost-minimization analysis is appropriate for comparing equi-effective treatments, whereas cost-effectiveness analysis is indicated when there is a significant difference in clinical effectiveness. 11 Our study utilized a cost-effectiveness analysis because allogeneic transplantation proved to be significantly more effective than the reference treatments. Our cost-effectiveness analysis was designed to determine the incremental cost-effectiveness ratio, that is the ratio of incremental cost and incremental effectiveness (where incremental cost is the lifetime cost difference per patient between allogeneic transplantation and standard chemotherapy or autologous transplantation and incremental effectiveness is the lifetime survival difference per patient between the two treatments).…”
Section: Cost-effectiveness Analysismentioning
confidence: 99%
“…91 Data were derived from patients with acute leukemia who failed a first allogeneic HSC transplant. Patients from five second HSC transplant series (n = 167) and two non-transplant series (n = 299) were analyzed with outcome derived using survival extrapolation.…”
Section: Cost-effectiveness For Second Hsc Transplantmentioning
confidence: 99%
“…This approximated method for constructing individual survival times has often been used in previous retrospective overviews and in meta-analyses of survival data (Fine et al, 1993;Messori et al, 1994;Bardelli et al, 1995;Trallori et al, 1995;Ferradina et al, 1997;Messori et al, 1999aMessori et al, , 1999b. The computer programme implementing this method has been recently published (Messori et al, 2000).…”
Section: Appendix 1: Approximations Introduced In Our Survival Analysismentioning
confidence: 99%