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Published in: Radiation Oncology 1/2014

Open Access 01-12-2014 | Methodology

Objective consensus from decision trees

Authors: Paul Martin Putora, Cedric M Panje, Alexandros Papachristofilou, Alan Dal Pra, Thomas Hundsberger, Ludwig Plasswilm

Published in: Radiation Oncology | Issue 1/2014

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Abstract

Background

Consensus-based approaches provide an alternative to evidence-based decision making, especially in situations where high-level evidence is limited. Our aim was to demonstrate a novel source of information, objective consensus based on recommendations in decision tree format from multiple sources.

Methods

Based on nine sample recommendations in decision tree format a representative analysis was performed. The most common (mode) recommendations for each eventuality (each permutation of parameters) were determined. The same procedure was applied to real clinical recommendations for primary radiotherapy for prostate cancer. Data was collected from 16 radiation oncology centres, converted into decision tree format and analyzed in order to determine the objective consensus.

Results

Based on information from multiple sources in decision tree format, treatment recommendations can be assessed for every parameter combination. An objective consensus can be determined by means of mode recommendations without compromise or confrontation among the parties. In the clinical example involving prostate cancer therapy, three parameters were used with two cut-off values each (Gleason score, PSA, T-stage) resulting in a total of 27 possible combinations per decision tree. Despite significant variations among the recommendations, a mode recommendation could be found for specific combinations of parameters.

Conclusion

Recommendations represented as decision trees can serve as a basis for objective consensus among multiple parties.
Appendix
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Metadata
Title
Objective consensus from decision trees
Authors
Paul Martin Putora
Cedric M Panje
Alexandros Papachristofilou
Alan Dal Pra
Thomas Hundsberger
Ludwig Plasswilm
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2014
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/s13014-014-0270-y

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