Literature DB >> 22086750

Estimation of dynamic treatment strategies for maintenance therapy of children with acute lymphoblastic leukaemia: an application of history-adjusted marginal structural models.

S Rosthøj1, N Keiding, K Schmiegelow.   

Abstract

Childhood acute lymphoblastic leukaemia is treated with long-term intensive chemotherapy. During the latter part of the treatment, the maintenance therapy, the patients receive oral doses of two cytostatics. The doses are tailored to blood counts measured on a weekly basis, and the treatment is therefore highly dynamic. In 1992-1996, the Nordic Society of Paediatric Haematology and Oncology (NOPHO) conducted a randomised study (NOPHO-ALL-92) to investigate the effect of a new and more sophisticated dynamic treatment strategy. Unexpectedly, the new strategy worsened the outcome for the girls, whereas there were no treatment differences for the boys. There are as yet no general guidelines for optimising the treatment. On basis of the data from this study, our goal is to formulate an alternative dosing strategy. We use recently developed methods proposed by van der Laan et al. to obtain statistical models that may be used in the guidance of how the physicians should assign the doses to the patients to obtain the target of the treatment. We present a possible strategy and discuss the reliability of this strategy. The implementation is complicated, and we touch upon the limitations of the methods in relation to the formulation of alternative dosing strategies for the maintenance therapy.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 22086750     DOI: 10.1002/sim.4393

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

Review 1.  Application of marginal structural models in pharmacoepidemiologic studies: a systematic review.

Authors:  Shibing Yang; Charles B Eaton; Juan Lu; Kate L Lapane
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-01-24       Impact factor: 2.890

2.  Survival models and health sequences.

Authors:  Walter Dempsey; Peter McCullagh
Journal:  Lifetime Data Anal       Date:  2018-03-03       Impact factor: 1.588

3.  Time-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residuals.

Authors:  Daniel Almirall; Beth Ann Griffin; Daniel F McCaffrey; Rajeev Ramchand; Robert A Yuen; Susan A Murphy
Journal:  Stat Med       Date:  2013-07-19       Impact factor: 2.373

4.  Optimization of individualized dynamic treatment regimes for recurrent diseases.

Authors:  Xuelin Huang; Jing Ning; Abdus S Wahed
Journal:  Stat Med       Date:  2014-02-09       Impact factor: 2.373

5.  Application of causal inference methods in the analyses of randomised controlled trials: a systematic review.

Authors:  Ruth E Farmer; Daphne Kounali; A Sarah Walker; Jelena Savović; Alison Richards; Margaret T May; Deborah Ford
Journal:  Trials       Date:  2018-01-10       Impact factor: 2.279

  5 in total

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