ORCID

Abstract

ContextThere is ongoing uncertainty about the optimal management of patients with localised prostate cancer.ObjectiveTo evaluate the comparative efficacy and safety of different treatments for patients with localised prostate cancer.DesignSystematic review with Bayesian network meta-analysis to estimate comparative ORs, and a score (0–100%) that, for a given outcome, reflects average rank order of superiority of each treatment compared against all others, using the Surface Under the Cumulative RAnking curve (SUCRA) statistic.Data sourcesElectronic searches of MEDLINE without language restriction.Study selectionRandomised trials comparing the efficacy and safety of different primary treatments (48 papers from 21 randomised trials included 7350 men).Data extraction2 reviewers independently extracted data and assessed risk of bias.ResultsComparative efficacy and safety evidence was available for prostatectomy, external beam radiotherapy (different types and regimens), observational management and cryotherapy, but not high-intensity focused ultrasound. There was no evidence of superiority for any of the compared treatments in respect of all-cause mortality after 5 years. Cryotherapy was associated with less gastrointestinal and genitourinary toxicity than radiotherapy (SUCRA: 99% and 77% for gastrointestinal and genitourinary toxicity, respectively).ConclusionsThe limited available evidence suggests that different treatments may be optimal for different efficacy and safety outcomes. These findings highlight the importance of informed patient choice and shared decision-making about treatment modality and acceptable trade-offs between different outcomes. More trial evidence is required to reduce uncertainty. Network meta-analysis may be useful to optimise the power of evidence synthesis studies once data from new randomised controlled studies in this field are published in the future.

DOI

10.1136/bmjopen-2013-004285

Publication Date

2014-05-01

Publication Title

BMJ Open

Volume

4

Issue

5

ISSN

2044-6055

Organisational Unit

School of Engineering, Computing and Mathematics

First Page

e004285

Last Page

e004285

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