Evidence map›Paper›PMID 37040594›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2023

External Validation of a Prognostic Model of Overall Survival in Men With Chemotherapy-Naïve Metastatic Castration-Resistant Prostate Cancer.

Susan Halabi, Qian Yang, Akash Roy, Bin Luo, John C Araujo, Christopher Logothetis, Cora N Sternberg, Andrew J Armstrong, Michael A Carducci, Kim N Chi and 10 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  4. Circulating Tumor DNA Assessment for Treatment Monitoring Adds Value to PSA in Metastatic Castration-Resistant Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 14 institutions in 4 countries.

Susan HalabiDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.ORCID 0000-0003-4135-2777
Qian YangDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.ORCID 0000-0002-8102-288X
Akash RoyDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
Bin LuoDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.ORCID 0000-0002-3983-5676
John C AraujoThe University of Texas MD Anderson Cancer Center, Houston, TX.
Christopher LogothetisThe University of Texas MD Anderson Cancer Center, Houston, TX.
Cora N SternbergEnglander Institute for Precision Medicine, Meyer Cancer Center, Weill Cornell Medicine and New York-Presbyterian Hospital, New York, NY.ORCID 0000-0003-3938-2627
Andrew J ArmstrongDepartment of Medicine, Duke Cancer Institute Center for Prostate and Urologic Cancer, Duke University, Durham, NC.ORCID 0000-0001-7012-1754
Michael A CarducciThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD.
Kim N ChiBritish Columbia Cancer Agency-Vancouver Centre, Vancouver, BC, Canada.ORCID 0000-0002-3782-7226
Johann S de BonoThe Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom.ORCID 0000-0002-2034-595X
Daniel P PetrylakYale School of Medicine, New Haven, CT.ORCID 0000-0001-6165-5797
Karim FizaziDepartment of Cancer Medicine, Institut Gustave Roussy, University of Paris Sud, Villejuif, France.ORCID 0000-0002-6068-9474
Celestia S HiganoUniversity of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-5308-8972
Michael J MorrisMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9454-0096
Dana E RathkopfMemorial Sloan Kettering Cancer Center, New York, NY.
Fred SaadUniversity of Montreal Hospital Center, Montreal, QC, Canada.ORCID 0000-0003-2986-5617
Charles J RyanProstate Cancer Foundation and the University of Minnesota, Minneapolis, MN.
Eric J SmallUniversity of California, San Francisco, San Francisco, CA.ORCID 0000-0003-3191-6268
William Kevin KellyThomas Jefferson University, Philadelphia, PA.ORCID 0000-0003-2629-672X
Duke University · USMemorial Sloan Kettering Cancer Center · USThe University of Texas MD Anderson Cancer Center · USBC Cancer Agency · CAJohns Hopkins University · USNewYork–Presbyterian Hospital · USRoyal Marsden NHS Foundation Trust · GBThomas Jefferson University · USUniversité de Montréal · CAUniversité Paris-Sud · FRUniversity of British Columbia · CAUniversity of California, San Francisco · USUniversity of Minnesota · USYale University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Clinical genomic predictive model of first line androgen receptor inhibitor therapy outcomes in men with mCRPCR01CA256157 · NCI · DUKE UNIVERSITY · PI ARMSTRONG, ANDREW J, DEHM, SCOTT M. · 2020 to 2025
$3.2M
Interactions of Androgen Production, Uptake and Metabolism on outcome in Castration Resistant Prostate CancerR01CA249279 · NCI · UNIVERSITY OF MINNESOTA · PI HALABI, SUSAN, SHARIFI, NIMA · 2021 to 2024
$2.1M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA249279NCI NIH HHS R01 CA256157
6 · The paper itself

Abstract

purposeWe have previously developed and externally validated a prognostic model of overall survival (OS) in men with metastatic, castration-resistant prostate cancer (mCRPC) treated with docetaxel. We sought to externally validate this model in a broader group of men with docetaxel-naïve mCRPC and in specific subgroups (White, Black, Asian patients, different age groups, and specific treatments) and to classify patients into validated two and three prognostic risk groupings on the basis of the model.

methodsData from 8,083 docetaxel-naïve mCRPC men randomly assigned on seven phase III trials were used to validate the prognostic model of OS. We assessed the predictive performance of the model by computing the time-dependent area under the receiver operating characteristic curve (tAUC) and validated the two-risk (low and high) and three-risk prognostic groups (low, intermediate, and high).

resultsThe tAUC was 0.74 (95% CI, 0.73 to 0.75), and when adjusting for the first-line androgen receptor (AR) inhibitor trial status, the tAUC was 0.75 (95% CI, 0.74 to 0.76). Similar results were observed by the different racial, age, and treatment subgroups. In patients enrolled on first-line AR inhibitor trials, the median OS (months) in the low-, intermediate-, and high-prognostic risk groups were 43.3 (95% CI, 40.7 to 45.8), 27.7 (95% CI, 25.8 to 31.3), and 15.4 (95% CI, 14.0 to 17.9), respectively. Compared with the low-risk prognostic group, the hazard ratios for the high- and intermediate-risk groups were 4.3 (95% CI, 3.6 to 5.1;

conclusionThis prognostic model for OS in docetaxel-naïve men with mCRPC has been validated using data from seven trials and yields similar results overall and across race, age, and different treatment classes. The prognostic risk groups are robust and can be used to identify groups of patients for enrichment designs and for stratification in randomized clinical trials.

Indexed as

Prostatic Neoplasms, Castration-ResistantAntineoplastic Combined Chemotherapy ProtocolsDocetaxelHumansMalePrognosisProportional Hazards ModelsTreatment OutcomeDocetaxel

Identifiers

PMID37040594
PMCPMC10414709
OpenAlexW4364374948

What OpenQuestion holds

Textmetadata
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.