Evidence map›Paper›PMID 31281840›Full record

ReviewBioMed research international2019

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

Abstract readReview
In one paragraph

Review in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Y van WijkThe D-Lab: Decision Support for Precision Medicine GROW - School for Oncology and Developmental Biology & MCCC, Maastricht University Medical Center, Maastricht, Netherlands.ORCID 0000-0001-9389-8005
I HalilajThe D-Lab: Decision Support for Precision Medicine GROW - School for Oncology and Developmental Biology & MCCC, Maastricht University Medical Center, Maastricht, Netherlands.
E van LimbergenDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands.
S WalshThe D-Lab: Decision Support for Precision Medicine GROW - School for Oncology and Developmental Biology & MCCC, Maastricht University Medical Center, Maastricht, Netherlands.
L LutgensDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands.
P LambinThe D-Lab: Decision Support for Precision Medicine GROW - School for Oncology and Developmental Biology & MCCC, Maastricht University Medical Center, Maastricht, Netherlands.
B G L VannesteDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands.ORCID 0000-0003-2334-5207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA 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.

methodsWe 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.

resultsOur search resulted in twelve diagnostic mDSS; six treatment mDSS; two patient mDSS; and eight papers that could improve mDSS.

conclusionsDiagnosis 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.

Indexed as

Decision Support Systems, ClinicalHumansMalePatient ParticipationProstatic Neoplasms

Identifiers

PMID31281840
PMCPMC6590598

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.