Evidence map›Paper›PMID 39945807›Full record

ArticleJNCI cancer spectrum2025

Do trial benefits predict real-world gains in metastatic castration resistant prostate cancer.

Sarah Axeen, Alice J Chen, Darius N Lakdawalla, Neal Masia, Alexander Niyazov, Bhakti Arondekar, Stephen J Freedland

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2025. 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

7 authors.

Sarah AxeenLeonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0000-0002-1538-0013
Alice J ChenLeonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0000-0002-7908-2664
Darius N LakdawallaLeonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0000-0001-5934-8042
Neal MasiaColumbia Business School, Columbia University, New York City, NY 10027, United States.
Alexander NiyazovPfizer, Inc., Collegeville, PA 19426, United States.
Bhakti ArondekarPfizer, Inc., Collegeville, PA 19426, United States.ORCID 0000-0002-4553-0094
Stephen J FreedlandDepartment of Urology, Cedars Sinai Medical Center, Los Angeles, CA 90048, United States.ORCID 0000-0002-8104-6419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is important to understand the relationship between drug efficacy measured in randomized clinical trials (RCTs) and real-world drug effectiveness. We estimate how RCT overall survival (OS) and RCT radiographic progression-free survival (rPFS) benefits predict the association between treatments and real-world OS gains for metastatic castration-resistant prostate cancer (mCRPC) drugs.

methodsUsing the National Cancer Institute list of approved cancer drugs and the National Comprehensive Cancer Network Treatment Guidelines, we identified all pharmaceutical therapies for mCRPC approved between 2010 and 2019. We obtained RCT OS and rPFS hazard ratios from the pivotal trials used for Food and Drug Administration (FDA) approval, and we estimated real-world OS hazard ratios using the Optum Clinformatics Extended DataMart Databases. We modeled real-world OS hazard ratios as a function of both RCT OS and RCT rPFS hazard ratios using Cox proportional hazards regressions, adjusted for year of diagnosis, age, race, and Elixhauser Comorbidity Index.

resultsWhen we did not account for nonrandom real-world selection of patients into receiving a newly approved therapy (ie, "treatment selection bias"), real-world OS gains were 15% lower than associated RCT OS and RCT rPFS benefits. However, after accounting for treatment selection bias in real-world settings, real-world OS gains were almost 28% greater than RCT OS and RCT rPFS benefits. Association between treatment and OS gains increased the longer a new therapy was on the market.

conclusionsAfter adjusting for treatment selection bias, RCT OS and RCT rPFS estimates serve as useful, or even conservative, predictors of RW OS gains.

Indexed as

Antineoplastic AgentsProstatic Neoplasms, Castration-ResistantRandomized Controlled Trials as TopicAgedHumansMaleProgression-Free SurvivalProportional Hazards ModelsTreatment OutcomeUnited StatesAntineoplastic Agents

Identifiers

PMID39945807
PMCPMC11879356

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.