Evidence map›Paper›PMID 27814714›Full record

ArticleBMC urology2016

Patient preferences for treatment of castration-resistant prostate cancer in Japan: a discrete-choice experiment.

Hiroji Uemura, Nobuaki Matsubara, Go Kimura, Akito Yamaguchi, Dianne Athene Ledesma, Marco DiBonaventura, Ateesha F Mohamed, Enrique Basurto, Ian McKinnon, Ed Wang and 3 more

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in BMC urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05761093 (A Study to Evaluate Patient and Physician Benefit/ Risk Preferences for Treatment of Metastatic Prostate Cancer), which is not on this map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 pooled it
–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.

NCT05761093 recruitingnot on this mapstarted 2022, after this paper: background citation

A Study to Evaluate Patient and Physician Benefit/ Risk Preferences for Treatment of Metastatic Prostate Cancer (mPC) in Hong Kong: a Discrete Choice Experiment

TypeobservationalSponsorChinese University of Hong KongRan2022 to 2026Enrolled306ConditionsProstate Cancer
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Hiroji UemuraDepartment of Urology and Renal Transplantation, Yokohama City University Medical Center, Yokohama, Japan.
Nobuaki MatsubaraDivision of Breast and Medical Oncology, National Cancer Center Hospital East, Chiba, Japan.
Go KimuraDepartment of Urology, Nippon Medical School, Tokyo, Japan.
Akito YamaguchiDivision of Urology, Harasanshin General Hospital, Fukuoka, Japan.
Dianne Athene LedesmaBayer Yakuhin, Ltd., 2-4-9, Umeda, Kita-ku, Osaka, 530-0001, Japan.
Marco DiBonaventuraKantar Health, New York, NY, USA.
Ateesha F MohamedBayer Healthcare, Whippany, NJ, USA.
Enrique BasurtoKantar Health, New York, NY, USA.
Ian McKinnonKantar Health, New York, NY, USA.
Ed WangBayer Healthcare, Whippany, NJ, USA.
Kristen ConcialdiKantar Health, New York, NY, USA.
Aya NarimatsuBayer Yakuhin, Ltd., 2-4-9, Umeda, Kita-ku, Osaka, 530-0001, Japan.
Yasuko AitokuBayer Yakuhin, Ltd., 2-4-9, Umeda, Kita-ku, Osaka, 530-0001, Japan. yasuko.aitoku@bayer.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUp to a fifth of patients diagnosed with prostate cancer (PC) will develop castration-resistant prostate cancer (CRPC), which has been associated with a poor prognosis. The aim of this study was to consider the patient perspective as part of the overall treatment decision-making process for CRPC, given that an alignment between patient preference and prescribing has been shown to benefit patient outcomes. This study examines preferences of patients with CRPC in Japan for treatment features associated with treatments like RA-223, abiraterone, and docetaxel and to examine the extent to which treatment preferences may vary between symptomatic and asymptomatic patients.

methodsA two-phase research approach was implemented. In Phase 1, N = 8 patients with CRPC were recruited from a single hospital to complete a qualitative interview to provide feedback on the draft survey. In Phase 2, N = 134 patients with CRPC were recruited from five hospitals to complete a paper survey. The survey included 6 treatment choice questions, each asking patients to choose between two hypothetical treatments for their CRPC. Each treatment alternative was defined by the following attributes: length of overall survival (OS), time to a symptomatic skeletal event (SSE), method of administration, reduction in the risk of bone pain, treatment-associated risk of fatigue and lost work days. A hierarchical Bayesian logistic regression was used to estimate relative preference weights for each attribute level and mean relative importance.

resultsA total of N = 133 patients with CRPC completed the survey and were included in the final analysis. Patients had a mean age of 75.4 years (SD = 7.4) and had been diagnosed with PC a mean of 6.5 years prior (SD = 4.4). Over the attribute levels shown, fatigue (relative importance [RI] = 24.9 %, 95 % CI: 24.7 %, 25.1 %) was the most important attribute, followed by reduction in the risk of bone pain (RI = 23.2 %, 95 % CI: 23.0 %, 23.5 %), and OS (RI = 19.2 %, 95 % CI: 19.0 %, 19.4 %). Although symptomatic patients placed significantly more importance on delaying an SSE (p < .05), no other preference differences were observed.

conclusionsCRPC patients were more concerned about reduced quality of life from side effects of treatment rather than extension of survival, which may have implications for shared decision-making between patients and physicians.

Indexed as

Patient PreferenceAgedAndrostenesAntineoplastic AgentsDocetaxelHumansJapanMaleProstatic Neoplasms, Castration-ResistantRadioisotopesRadiumTaxoidsabirateroneAndrostenesAntineoplastic AgentsDocetaxelRadioisotopesRadiumTaxoidsBone painCastration-resistant prostate cancerFatiguePatient preferencesSymptomatic

Identifiers

PMID27814714
PMCPMC5095997

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Registered trials

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.