Evidence map›Paper›PMID 41183101›Full record

ArticleJournal of the National Cancer Institute2026

What matters to society when making decisions about reimbursing drugs for prostate cancer: a discrete choice experiment.

Rafael Emilio De Feria Cardet, Stephen Goodall, Tracey-Lea Laba, Marion Haas, Ian D Davis, Deborah J Street, Christopher J Sweeney, Richard De Abreu Lourenço

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Rafael Emilio De Feria CardetCHERE, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0002-4531-8130
Stephen GoodallCHERE, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0001-6611-6565
Tracey-Lea LabaCHERE, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0002-5182-9092
Marion HaasCHERE, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0002-9726-3063
Ian D DavisEastern Health, Monash University, Melbourne, VIC, Australia.ORCID 0000-0002-9066-8244
Deborah J StreetCHERE, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0002-4476-0656
Christopher J SweeneySouth Australian Immunogenomics Cancer Institute, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-0398-6018
Richard De Abreu LourençoCHERE, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0002-5978-8774

Funding

Astellas Pharma Singapore Pty LtdCancer Trials GroupJanssen GlobalNHMRC 2016274Urogenital and Prostate
6 · The paper itself

Abstract

introductionThe use of surrogate outcomes to support treatment efficacy and cost-effectiveness in localized prostate cancer has the potential to shorten time to access for new medicines, but it may be associated with greater uncertainty. We sought to understand how members of society might trade off drug efficacy, safety, cost-effectiveness, and evidence strength when asked to consider funding new treatments for localized prostate cancer.

methodsA discrete choice experiment among the Australian general population was conducted. Treatment choices were described by cost-effectiveness, government cost, adverse events, patients expected to benefit from treatment, nature of benefits, completeness of data available, and the extent of follow-up. Responses were analyzed using mixed logit and latent class models to assess heterogeneity.

resultsThe survey was completed by 1003 participants. Respondents favored interventions that benefited a high proportion of patients (OR = 2.44, 95% CI = 2.10 to 2.69), were cost-effective (OR = 0.89, 95% CI = 0.82 to 0.98), low cost to government (OR = 0.75, 95% CI = 0.68 to 0.82), and with long follow-up time (OR = 1.25, 95% CI = 1.12 to 1.39). Respondents showed aversion to ongoing studies (OR = 0.81, 95% CI = 0.75 to 0.88). Respondents were willing to accept less certain evidence if associated with a lower cost-effectiveness ratio (ICER). Latent class analysis revealed 2 subgroups with different preference patterns.

conclusionsThe analysis found preference for interventions with maximum benefits while minimizing costs. Respondents preferred studies with longer follow-up time for reimbursement decisions despite consequent treatment delays. Notably, respondents were willing to accept the uncertainty associated with surrogate outcomes-reflected through study length and completeness of evidence-provided the intervention demonstrated a favorable ICER.

Indexed as

Antineoplastic AgentsChoice BehaviorDecision MakingInsurance, Health, ReimbursementProstatic NeoplasmsAdultAgedAustraliaCost-Benefit AnalysisHumansMaleMiddle AgedPatient PreferenceSurveys and QuestionnairesAntineoplastic Agents

Identifiers

PMID41183101
PMCPMC13016820

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.