Evidence map›Paper›PMID 37951360›Full record

ArticleUrology2024

National Long-term Survival Estimates After Radical Prostatectomy for Prostate Cancer.

Kristian D Stensland, Megan E V Caram, Daniel J Herr, Jennifer A Burns, Jordan B Sparks, David A Elliott, Chris Shin, Todd M Morgan, Alexander Zaslavsky, Brent K Hollenbeck and 2 more

Open access · greenAbstract read
In one paragraph

Article in Urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Kristian D StenslandDepartment of Urology, University of Michigan, Ann Arbor, MI.
Megan E V CaramHSR&D Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI; Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Daniel J HerrDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI.
Jennifer A BurnsHSR&D Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI.
Jordan B SparksHSR&D Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI.
David A ElliottDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI.
Chris ShinDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Todd M MorganDepartment of Urology, University of Michigan, Ann Arbor, MI.
Alexander ZaslavskyDepartment of Urology, University of Michigan, Ann Arbor, MI.
Brent K HollenbeckDepartment of Urology, University of Michigan, Ann Arbor, MI.
Alexander TsodikovDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Ted A SkolarusSection of Urology, Department of Surgery, University of Chicago, Chicago, IL. Electronic address: tskolarus@bsd.uchicago.edu.
University of Michigan–Ann Arbor · USVA Ann Arbor Healthcare System · USUniversity of Chicago · US

Funding

Modeling Precision Interventions for Prostate Cancer ControlU01CA253915 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D, TSODIKOV, ALEXANDER · 2020 to 2025
$6.5M
Refining castration use for recurrent prostate cancerR01CA242559 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SKOLARUS, TED ALBERT, TSODIKOV, ALEXANDER · 2020 to 2023
$1.4M
Building capacity for clinical trial improvement through implementation scienceF32CA264874 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STENSLAND, KRISTIAN DONALD · 2021 to 2021
$84k
NCI NIH HHS F32 CA264874NCI NIH HHS R01 CA242559NCI NIH HHS U01 CA253915
6 · The paper itself

Abstract

objectiveTo examine survival and disease control outcomes, including metastasis-related survival outcomes, in a large contemporary cohort of patients undergoing radical prostatectomy for localized prostate cancer.

methodsWe conducted a retrospective study of men with localized prostate cancer treated with radical prostatectomy from 2005 to 2015 with follow-up through 2019 in the Veterans Health Administration. We defined biochemical recurrence (BCR) as a prostate-specific antigen ≥0.2 ng/mL. We used a validated natural language processing encoded dataset to identify incident metastatic prostate cancer. We estimated overall survival from time of surgery, time of BCR, and time of first metastasis using the Kaplan-Meier method. We then estimated time from surgery to BCR, BCR to metastatic disease, and prostate-cancer-specific survival from various time points using cumulative incidence considering competing risk of death.

resultsOf 21,992 men undergoing radical prostatectomy, we identified 5951 (27%) who developed BCR. Of men with BCR, 677 (11%) developed metastases. We estimated the 10-year cumulative incidence of BCR and metastases after BCR were 28% and 20%, respectively. Median overall survival after BCR was 14years, with 10-year survival of 70%. From the time of metastasis, median overall survival approached 7years, with 10-year overall survival of 34%. Prostate cancer-specific survival for the entire cohort at 10years was 94%.

conclusionIn this large contemporary national cohort, survival for men with biochemically recurrent prostate cancer is longer than historical cohorts. When counseling patients and designing clinical studies, these updated estimates may serve as more reliable reflections of current outcomes.

Indexed as

ProstateProstatic NeoplasmsHumansMaleProstatectomyProstate-Specific AntigenRetrospective StudiesProstate-Specific Antigen

Identifiers

PMID37951360
PMCPMC11229680
OpenAlexW4388571376

What OpenQuestion holds

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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.