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Radiation Oncology

, 9:270

Clinical Radiation Oncology


BackgroundConsensus-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.

MethodsBased 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.

ResultsBased 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.

ConclusionRecommendations represented as decision trees can serve as a basis for objective consensus among multiple parties.

KeywordsConsensus Learning Objective Decision making Decision tree Algorithm Electronic supplementary materialThe online version of this article doi:10.1186-s13014-014-0270-y contains supplementary material, which is available to authorized users.

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

Fuente: https://link.springer.com/

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