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BMC Medical Research Methodology
Published in: BMC Medical Research Methodology 1/2017

Open Access 01-12-2017 | Research article

Applied Swarm-based medicine: collecting decision trees for patterns of algorithms analysis

Authors: Cédric M. Panje, Markus Glatzer, Joscha von Rappard, Christian Rothermundt, Thomas Hundsberger, Valentin Zumstein, Ludwig Plasswilm, Paul Martin Putora

Published in: BMC Medical Research Methodology | Issue 1/2017

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Abstract

Background

The objective consensus methodology has recently been applied in consensus finding in several studies on medical decision-making among clinical experts or guidelines. The main advantages of this method are an automated analysis and comparison of treatment algorithms of the participating centers which can be performed anonymously.

Methods

Based on the experience from completed consensus analyses, the main steps for the successful implementation of the objective consensus methodology were identified and discussed among the main investigators.

Results

The following steps for the successful collection and conversion of decision trees were identified and defined in detail: problem definition, population selection, draft input collection, tree conversion, criteria adaptation, problem re-evaluation, results distribution and refinement, tree finalisation, and analysis.

Conclusion

This manuscript provides information on the main steps for successful collection of decision trees and summarizes important aspects at each point of the analysis.
Literature
1.
2.
Phillips B, Ball C, Badenoch D, Straus S, Haynes B, Dawes M. Oxford centre for evidence-based medicine levels of evidence (May 2001). BJU Int. 2011;107(5):870.CrossRef
3.
Apisarnthanarax S, Swisher-McClure S, Chiu WK, Kimple RJ, Harris SL, Morris DE, Tepper JE. Applicability of randomized trials in radiation oncology to standard clinical practice. Cancer. 2013;119(16):3092–9.CrossRefPubMed
4.
Smith GC, Pell JP. Parachute use to prevent death and major trauma related to gravitational challenge: systematic review of randomised controlled trials. BMJ. 2003;327(7429):1459–61.CrossRefPubMedPubMedCentral
5.
6.
7.
Kämmer JE, Hautz WE, Herzog SM, Kunina-Habenicht O, Kurvers RH: The Potential of Collective Intelligence in Emergency Medicine: Pooling Medical Students’ Independent Decisions Improves Diagnostic Performance. Med Decis Making. 2017. doi:10.​1177/​0272989X17696998​.
8.
Roesch J, Panje C, Sterzing F, Mantel F, Nestle U, Andratschke N, Guckenberger M. SBRT for centrally localized NSCLC - What is too central? Radiat Oncol. 2016;11(1):157.CrossRefPubMedPubMedCentral
9.
10.
Putora PM, Bedenne L, Budach W, Eisterer W, Van Der Gaast A, Jager R, Van Lanschot JJ, Mariette C, Schnider A, Stahl M, et al. Oesophageal cancer: exploring controversies overview of experts’ opinions of Austria, Germany, France, Netherlands and Switzerland. Radiat Oncol. 2015;10:116.CrossRefPubMedPubMedCentral
11.
Bauer K, Schroeder M, Porzsolt F, Henne-Bruns D. Comparison of international guidelines on the accompanying therapy for advanced gastric cancer: reasons for the differences. J Gastric Cancer. 2015;15(1):10–8.CrossRefPubMedPubMedCentral
12.
Podgorelec V, Kokol P, Stiglic B, Rozman I. Decision trees: an overview and their use in medicine. J Med Syst. 2002;26(5):445–63.CrossRefPubMed
13.
Putora P-M, Blattner M, Papachristofilou A, Mariotti F, Paoli B, Plasswilm L. Dodes (diagnostic nodes) for Guideline Manipulation. J Rad Oncol Informa. 2010;2(1):1–8.
14.
15.
Panje CM, Dal Pra A, Zilli T, R Zwahlen D, Papachristofilou A, Herrera FG, Matzinger O, Plasswilm L, Putora PM: Consensus and differences in primary radiotherapy for localized and locally advanced prostate cancer in Switzerland: A survey on patterns of practice. Strahlenther Onkol. 2015.
16.
Rothermundt C, Bailey A, Cerbone L, Eisen T, Escudier B, Gillessen S, Grunwald V, Larkin J, McDermott D, Oldenburg J, et al. Algorithms in the First-Line Treatment of Metastatic Clear Cell Renal Cell Carcinoma-Analysis Using Diagnostic Nodes. Oncologist. 2015;20(9):1028–35.CrossRefPubMedPubMedCentral
17.
Hundsberger T, Hottinger AF, Roelcke U, Roth P, Migliorini D, Dietrich PY, Conen K, Pesce G, Hermann E, Pica A, et al. Patterns of care in recurrent glioblastoma in Switzerland: a multicentre national approach based on diagnostic nodes. J Neuro-Oncol. 2016;126(1):175–83.CrossRef
18.
Rothermundt C, von Rappard J, Eisen T, Escudier B, Grünwald V, Larkin J, McDermott D, Oldenburg J, Porta C, Rini B, et al. Second-line treatment for metastatic clear cell renal cell cancer: experts’ consensus algorithms. World J Urol. 2016:1–8.
19.
Fowler FJ Jr, Collins MM, Albertsen PC, Zietman A, Elliott DB, Barry MJ. Comparison of recommendations by urologists and radiation oncologists for treatment of clinically localized prostate cancer. JAMA. 2000;283(24):3217–22.CrossRefPubMed
20.
Wasif N, Ye X, Giuliano AE. Survey of ASCO members on management of sentinel node micrometastases in breast cancer: variation in treatment recommendations according to specialty. Ann Surg Oncol. 2009;16(9):2442–9.CrossRefPubMed
21.
Rothermundt C, Bailey A, Cerbone L, Eisen T, Escudier B, Gillessen S, Grünwald V, Larkin J, McDermott D, Oldenburg J et al.: Algorithms in the first-line Treatment of Metastatic Clear Cell Renal Cell Carcinoma–Analysis using Diagnostic Nodes. Oncologist. 2015. in press.
22.
23.
Niederman R, Leitch J. “Know what” and “know how”: knowledge creation in clinical practice. J Dent Res. 2006;85(4):296–7.CrossRefPubMed
24.
25.
McMillan SS, King M, Tully MP. How to use the nominal group and Delphi techniques. Int J Clin Pharm. 2016;38(3):655–62.PubMedPubMedCentral
Metadata
Title
Applied Swarm-based medicine: collecting decision trees for patterns of algorithms analysis
Authors
Cédric M. Panje
Markus Glatzer
Joscha von Rappard
Christian Rothermundt
Thomas Hundsberger
Valentin Zumstein
Ludwig Plasswilm
Paul Martin Putora
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2017
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-017-0400-y

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