Decision Support Systems in Prostate Cancer Treatment: An Overview

Y. van Wijk*, I. Halilaj, E. van Limbergen, S. Walsh, L. Lutgens, P. Lambin, B. G. L. Vanneste

*Corresponding author for this work

Research output: Contribution to journal(Systematic) Review article peer-review

6 Citations (Web of Science)

Abstract

Background. A multifactorial decision support system (mDSS) is a tool designed to improve the clinical decision-making process, while using clinical inputs for an individual patient to generate case-specific advice. The study provides an overview of the literature to analyze current available mDSS focused on prostate cancer (PCa), in order to better understand the availability of decision support tools as well as where the current literature is lacking. Methods. We performed a MEDLINE literature search in July 2018. We divided the included studies into different sections: diagnostic, which aids in detection or staging of PCa; treatment, supporting the decision between treatment modalities; and patient, which focusses on informing the patient. We manually screened and excluded studies that did not contain an mDSS concerning prostate cancer and study proposals. Results. Our search resulted in twelve diagnostic mDSS; six treatment mDSS; two patient mDSS; and eight papers that could improve mDSS. Conclusions. Diagnosis mDSS is well represented in the literature as well as treatment mDSS considering external-beam radiotherapy; however, there is a lack of mDSS for other treatment modalities. The development of patient decision aids is a new field of research, and few successes have been made for PCa patients. These tools can improve personalized medicine but need to overcome a number of difficulties to be successful and require more research.

Original languageEnglish
Article number4961768
Pages (from-to)1-10
Number of pages10
JournalBioMed Research International
Volume2019
Early online date2019
DOIs
Publication statusPublished - 2019

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