A review of economic evaluations of diagnostic strategies using imaging in men at risk of prostate cancer.
Détails
ID Serval
serval:BIB_0F9DE99507C2
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
A review of economic evaluations of diagnostic strategies using imaging in men at risk of prostate cancer.
Périodique
Current Opinion In Urology
ISSN
1473-6586 (Electronic)
ISSN-L
0963-0643
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
25
Numéro
6
Pages
483-489
Langue
anglais
Résumé
PURPOSE OF REVIEW: The role of imaging, particularly MRI, in diagnosing clinically significant prostate cancer is the focus of a rapidly developing body of clinical research. We identified five economic evaluations of multiparametric magnetic resonance imaging (mpMRI) for diagnosing prostate cancer which report very different results. This review aims to explain why the reported cost-effectiveness of mpMRI varies so widely.
FINDINGS: The studies evaluate the cost-effectiveness of mpMRI within different clinical pathways; before biopsy and after a negative biopsy. Although there were important differences in the questions posed, the studies also employed different assumptions about the impact of prostate cancer and its treatment on survival and quality of life.
SUMMARY: This review highlights the need for a better standard of reporting around key modelling assumptions. Also, a wider range of sensitivity analyses should explore the impact of these structural assumptions on the model results, in addition to the more commonly acknowledged uncertainty around data inputs for the model parameters.
FINDINGS: The studies evaluate the cost-effectiveness of mpMRI within different clinical pathways; before biopsy and after a negative biopsy. Although there were important differences in the questions posed, the studies also employed different assumptions about the impact of prostate cancer and its treatment on survival and quality of life.
SUMMARY: This review highlights the need for a better standard of reporting around key modelling assumptions. Also, a wider range of sensitivity analyses should explore the impact of these structural assumptions on the model results, in addition to the more commonly acknowledged uncertainty around data inputs for the model parameters.
Pubmed
Web of science
Création de la notice
01/03/2016 18:42
Dernière modification de la notice
20/08/2019 12:36