Evidence map›Paper›PMID 24060641›Full record

ArticleThe Journal of urology2014

Prostate specific antigen velocity risk count predicts biopsy reclassification for men with very low risk prostate cancer.

Hiten D Patel, Zhaoyong Feng, Patricia Landis, Bruce J Trock, Jonathan I Epstein, H Ballentine Carter

Abstract read
In one paragraph

Article in The Journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Review
  8. Biomarkers in active surveillance.Translational andrology and urology · 2018
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Biomarkers in localized prostate cancer.Future oncology (London, England) · 2016
    Review
  14. Article
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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

6 authors.

Hiten D PatelJames Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland. Electronic address: hitenpatel@jhmi.edu.
Zhaoyong FengJames Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Patricia LandisJames Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Bruce J TrockJames Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Jonathan I EpsteinJames Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland.
H Ballentine CarterJames Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

purposeProstate specific antigen velocity is an unreliable predictor of adverse pathology findings in patients on active surveillance for low risk prostate cancer. However, to our knowledge a new concept called prostate specific antigen velocity risk count, recently validated in a screening cohort, has not been investigated in an active surveillance cohort. MATERIALS AND

methodsWe evaluated a cohort of men from 1995 to 2012 with prostate cancer on active surveillance. They had stage T1c disease, prostate specific antigen density less than 0.15 ng/ml, Gleason score 6 or less, 2 or fewer biopsy cores and 50% or less involvement of any core with cancer. The men were observed by semiannual prostate specific antigen measurements, digital rectal examinations and an annual surveillance biopsy. Treatment was recommended for biopsy reclassification. Patients with 30 months or greater of followup and 3 serial prostate specific antigen velocity measurements were used in primary analysis by logistic regression, Cox proportional hazards, Kaplan-Meier analysis and performance parameters, including the AUC of the ROC curve.

resultsPrimary analysis included 275 of 668 men who met very low risk inclusion criteria, of whom 83 (30.2%) were reclassified at a median of 57.1 months. Reclassification risk increased with risk count, that is a risk count of 3 (HR 4.63, 95% CI 1.54-13.87) and 2 (HR 3.73, 95% CI 1.75-7.97) compared to zero. Results were similar for Gleason score reclassification (HR 7.45, 95% CI 1.60-34.71 and 3.96, 95% CI 1.35-11.62, respectively). On secondary analysis the negative predictive value (risk count 1 or less) was 91.5% for reclassification in the next year. Adding the prostate specific antigen velocity risk count improved the AUC in a model including baseline prostate specific antigen density (0.7423 vs 0.6818, p = 0.025) and it outperformed the addition of overall prostate specific antigen velocity (0.7423 vs 0.6960, p = 0.037).

conclusionsProstate specific antigen velocity risk count may be useful for monitoring patients on active surveillance and decreasing the frequency of biopsies needed in the long term.

Indexed as

BiopsyAgedHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingPredictive Value of TestsProstate-Specific AntigenProstatic NeoplasmsRiskRisk AssessmentProstate-Specific Antigenbiopsyprostateprostate-specific antigenprostatic neoplasmsrisk

Identifiers

PMID24060641
PMCPMC4711358

What OpenQuestion holds

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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 OpenQuestion graph.