Converging or Crossing Curves: Untie the Gordian Knot or Cut it? Appropriate Statistics for Non-Proportional Hazards in Decitabine DACO-016 Study (AML)

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Tomeczkowski, J.; Lange, A.; Güntert, A.; Thilakarathne, P.; Diels, J. et al.: Converging or Crossing Curves: Untie the Gordian Knot or Cut it? Appropriate Statistics for Non-Proportional Hazards in Decitabine DACO-016 Study (AML). In: Advances in Therapy 32 (2015), Nr. 9, S. 854-862. DOI: https://doi.org/10.1007/s12325-015-0238-9

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Sum total of downloads: 278




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Abstract: 
Introduction: Among patients with acute myeloid leukemia (AML), the DACO-016 randomized study showed reduction in mortality for decitabine [Dacogen® (DAC), Eisai Inc., Woodcliff Lake, NJ, USA] compared with treatment choice (TC): at primary analysis the hazard ratio (HR) was 0.85 (95% confidence interval 0.69-1.04; stratified log-rank P=0.108). With two interim analyses, two-sided alpha was adjusted to 0.0462. With 1-year additional follow-up the HR reached 0.82 (nominal P=0.0373). These data resulted in approval of DAC in the European Union, though not in the United States. Though pre-specified, the log-rank test could be considered not optimal to assess the observed survival difference because of the non-proportional hazard nature of the survival curves. Methods: We applied the Wilcoxon test as a sensitivity analysis. Patients were randomized to DAC (N=242) or TC (N=243). One-hundred and eight (44.4%) patients in the TC arm and 91 (37.6%) patients in the DAC arm selectively crossed over to subsequent disease modifying therapies at progression, which might impact the survival beyond the median with resultant converging curves (and disproportional hazards). Results: The stratified Wilcoxon test showed a significant improvement in median (CI 95%) overall survival with DAC [7.7 (6.2; 9.2) months] versus TC [5.0 (4.3; 6.3) months; P=0.0458]. Conclusion: Wilcoxon test indicated significant increase in survival for DAC versus TC compared to log-rank test. Funding: Janssen-Cilag GmbH.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Wirtschaftswissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 109 39.21%
2 image of flag of United States United States 85 30.58%
3 image of flag of Greece Greece 33 11.87%
4 image of flag of Sweden Sweden 28 10.07%
5 image of flag of China China 6 2.16%
6 image of flag of United Kingdom United Kingdom 5 1.80%
7 image of flag of Russian Federation Russian Federation 2 0.72%
8 image of flag of No geo information available No geo information available 1 0.36%
9 image of flag of Taiwan Taiwan 1 0.36%
10 image of flag of Australia Australia 1 0.36%
    other countries 7 2.52%

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