Haste makes waste: are the data regarding TARGIT-A IORT ready for prime time?
Haste makes waste: are the data regarding TARGIT-A IORT ready for prime time?
We would like to comment on the manuscript written by Esserman and colleagues [1] regarding the application of a decision analytic framework for adoption of clinical trial results. It is true that due to the prevalence of breast cancer, any management decision concerning its treatment may have significant implications concerning medical resources use and costs. However, this also holds true for any mistake or hasty decision that might carry a heavy price on public health in the long term.
If the purpose of the model presented in the article aimed to describe an analytic framework, then for the purpose of proof of concept, the statistical analysis should be applied first on treatments for which long-term follow-up is available, in order to prove and validate that the model can predict the same results as in the reality of daily practice. The use of the currently available TARGIT-A trial data to evaluate this model is inappropriate since follow-up in the TARGIT-A trial is immature [2, 3]
Kaidar-Person, Orit
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Poortmans, Philip
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Klimberg, Suzanne
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Haviland, Joanne
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Offersen, Birgitte
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Audisio, Riccardo
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Yarnold, John
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June 2014
Kaidar-Person, Orit
607d878b-368f-4bb1-960f-55a91a001599
Poortmans, Philip
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Klimberg, Suzanne
afe3e389-f678-42e2-85f8-39f9ae44ba31
Haviland, Joanne
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Offersen, Birgitte
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Audisio, Riccardo
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Yarnold, John
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Kaidar-Person, Orit, Poortmans, Philip, Klimberg, Suzanne, Haviland, Joanne, Offersen, Birgitte, Audisio, Riccardo and Yarnold, John
(2014)
Haste makes waste: are the data regarding TARGIT-A IORT ready for prime time?
Breast Cancer Research and Treatment.
(doi:10.1007/s10549-014-3032-5).
Abstract
We would like to comment on the manuscript written by Esserman and colleagues [1] regarding the application of a decision analytic framework for adoption of clinical trial results. It is true that due to the prevalence of breast cancer, any management decision concerning its treatment may have significant implications concerning medical resources use and costs. However, this also holds true for any mistake or hasty decision that might carry a heavy price on public health in the long term.
If the purpose of the model presented in the article aimed to describe an analytic framework, then for the purpose of proof of concept, the statistical analysis should be applied first on treatments for which long-term follow-up is available, in order to prove and validate that the model can predict the same results as in the reality of daily practice. The use of the currently available TARGIT-A trial data to evaluate this model is inappropriate since follow-up in the TARGIT-A trial is immature [2, 3]
Text
Person et al TARGIT A letter Breast Cancer Res Treatment 2014.pdf
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Published date: June 2014
Organisations:
Faculty of Health Sciences
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Local EPrints ID: 367541
URI: http://eprints.soton.ac.uk/id/eprint/367541
ISSN: 0167-6806
PURE UUID: 9b0be248-5e76-414b-aab9-215fe2bc52d6
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Date deposited: 01 Aug 2014 16:36
Last modified: 14 Mar 2024 17:32
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Author:
Orit Kaidar-Person
Author:
Philip Poortmans
Author:
Suzanne Klimberg
Author:
Joanne Haviland
Author:
Birgitte Offersen
Author:
Riccardo Audisio
Author:
John Yarnold
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