Synthesizing evidence from clinical trials with dynamic interactive argument trees

Sanchez Graillet O, Witte C, Grimm F, Grautoff S, Ell B, Cimiano P (2022)
Journal of Biomedical Semantics 13(1): 16.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
**Background**
Evidence-based medicine propagates that medical/clinical decisions are made by taking into account high-quality evidence, most notably in the form of randomized clinical trials. Evidence-based decision-making requires aggregating the evidence available in multiple trials to reach –by means of systematic reviews– a conclusive recommendation on which treatment is best suited for a given patient population. However, it is challenging to produce systematic reviews to keep up with the ever-growing number of published clinical trials. Therefore, new computational approaches are necessary to support the creation of systematic reviews that include the most up-to-date evidence.We propose a method to synthesize the evidence available in clinical trials in an ad-hoc and on-demand manner by automatically arranging such evidence in the form of ahierarchical argumentthat recommends a therapy as being superior to some other therapy along a number of key dimensions corresponding to the clinical endpoints of interest. The method has also been implemented as a web tool that allows users to explore the effects of excluding different points of evidence, and indicating relative preferences on the endpoints. **Results**
Through two use cases, our method was shown to be able to generate conclusions similar to the ones of published systematic reviews. To evaluate our method implemented as a web tool, we carried out a survey and usability analysis with medical professionals. The results show that the tool was perceived as being valuable, acknowledging its potential to inform clinical decision-making and to complement the information from existing medical guidelines. **Conclusions**
The method presented is a simple but yet effective argumentation-based method that contributes to support the synthesis of clinical trial evidence. A current limitation of the method is that it relies on a manually populated knowledge base. This problem could be alleviated by deploying natural language processing methods to extract the relevant information from publications.
Stichworte
Argument-based systems; Aggregation of clinical trial evidence; Evidence synthesis; Systematic review automation
Erscheinungsjahr
2022
Zeitschriftentitel
Journal of Biomedical Semantics
Band
13
Ausgabe
1
Art.-Nr.
16
eISSN
2041-1480
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Universität Bielefeld im Rahmen des DEAL-Vertrags gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2963654

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Sanchez Graillet O, Witte C, Grimm F, Grautoff S, Ell B, Cimiano P. Synthesizing evidence from clinical trials with dynamic interactive argument trees. Journal of Biomedical Semantics. 2022;13(1): 16.
Sanchez Graillet, O., Witte, C., Grimm, F., Grautoff, S., Ell, B., & Cimiano, P. (2022). Synthesizing evidence from clinical trials with dynamic interactive argument trees. Journal of Biomedical Semantics, 13(1), 16. https://doi.org/10.1186/s13326-022-00270-8
Sanchez Graillet, Olivia, Witte, Christian, Grimm, Frank, Grautoff, Steffen, Ell, Basil, and Cimiano, Philipp. 2022. “Synthesizing evidence from clinical trials with dynamic interactive argument trees”. Journal of Biomedical Semantics 13 (1): 16.
Sanchez Graillet, O., Witte, C., Grimm, F., Grautoff, S., Ell, B., and Cimiano, P. (2022). Synthesizing evidence from clinical trials with dynamic interactive argument trees. Journal of Biomedical Semantics 13:16.
Sanchez Graillet, O., et al., 2022. Synthesizing evidence from clinical trials with dynamic interactive argument trees. Journal of Biomedical Semantics, 13(1): 16.
O. Sanchez Graillet, et al., “Synthesizing evidence from clinical trials with dynamic interactive argument trees”, Journal of Biomedical Semantics, vol. 13, 2022, : 16.
Sanchez Graillet, O., Witte, C., Grimm, F., Grautoff, S., Ell, B., Cimiano, P.: Synthesizing evidence from clinical trials with dynamic interactive argument trees. Journal of Biomedical Semantics. 13, : 16 (2022).
Sanchez Graillet, Olivia, Witte, Christian, Grimm, Frank, Grautoff, Steffen, Ell, Basil, and Cimiano, Philipp. “Synthesizing evidence from clinical trials with dynamic interactive argument trees”. Journal of Biomedical Semantics 13.1 (2022): 16.
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2022-10-26T12:52:00Z
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