Evidence map›Paper›PMID 21216447›Full record

ArticleUrology2011

ProPSA and diagnostic biopsy tissue DNA content combination improves accuracy to predict need for prostate cancer treatment among men enrolled in an active surveillance program.

Sumit Isharwal, Danil V Makarov, Lori J Sokoll, Patricia Landis, Cameron Marlow, Jonathan I Epstein, Alan W Partin, H Ballentine Carter, Robert W Veltri

Abstract read
In one paragraph

Article in Urology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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  12. Emerging PSA-based tests to improve screening.The Urologic clinics of North America · 2014
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Sumit IsharwalJames Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Danil V Makarov
Lori J Sokoll
Patricia Landis
Cameron Marlow
Jonathan I Epstein
Alan W Partin
H Ballentine Carter
Robert W Veltri
Johns Hopkins University · USJohns Hopkins Medicine · USUniversity of Minnesota · USYale University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
TRANSGENIC MODELS FOR PROSTATE CANCER AND AUTOIMMUNITYP50CA058236 · NCI · JOHNS HOPKINS UNIVERSITY · PI DENMEADE, SAMUEL R · 1992 to 2020
$43.9M
Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
Development/Clinical Validation Markers for Prostate CaU01CA086323 · NCI · JOHNS HOPKINS UNIVERSITY · PI PARTIN, ALAN W · 2000 to 2010
$6.1M
NCI NIH HHS CA086323-06NCI NIH HHS CA115102-04NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA058236NCI NIH HHS P50CA58236NCI NIH HHS U01 CA086323NCI NIH HHS U24 CA115102
6 · The paper itself

Abstract

objectivesTo assess a novel application of the Prostate Health Index (phi) and biopsy tissue DNA content in benign-adjacent and cancer areas to predict which patients would eventually require treatment of prostate cancer in the Proactive Surveillance cohort.

methodsWe identified 71 men who had had serum and biopsy tissue from their diagnosis banked and available for the present study. Of the 71 patients, 39 had developed unfavorable biopsy findings and 32 had maintained favorable biopsy status during surveillance. The serum total prostate-specific antigen (tPSA), free PSA (fPSA) and [-2]proPSA were measured using the Beckman Coulter immunoassay. The DNA content measurements of Feulgen-stained biopsy sections were performed using the AutoCyte imaging system.

resultsThe ratio of phi was significantly greater (37.23 ± 15.76 vs 30.60 ± 12.28; P = .03) in men who ultimately had unfavorable biopsy findings. The serum phi ratio (P = .003), [-2]proPSA/%fPSA (P = .004), biopsy tissue DNA content (ie, benign-adjacent excess of optical density, P = .019; and cancer area standard deviation of optical density, P = .002) were significant predictors of unfavorable biopsy conversion on Cox regression analysis. However, phi and [-2]proPSA/%fPSA showed a highly significant correlation (rho = 0.927, P < .0001) and no difference in accuracy (c-index, 0.6247 vs 0.6158; P = .704) for unfavorable biopsy conversion prediction. Furthermore, phi and [-2]proPSA/%fPSA remained significant (P = .047 and P = .036, respectively) in the multivariate models and, combined with the biopsy tissue DNA content, showed improvement in the predictive accuracy (c-index, 0.6908 and 0.6884, respectively) for unfavorable biopsy conversion.

conclusionsThe Prostate Health Index to proPSA/%fPSA, combined with biopsy tissue DNA content, improved the accuracy to about 70% to predict unfavorable biopsy conversion at the annual surveillance biopsy examination among men enrolled in an Active Surveillance program.

Indexed as

Biopsy, NeedleWatchful WaitingAgedDNA, NeoplasmHumansMaleMiddle AgedProstateProstate-Specific AntigenProstatic NeoplasmsProtein IsoformsDNA, NeoplasmProstate-Specific AntigenProtein Isoforms

Identifiers

PMID21216447
PMCPMC4696012
OpenAlexW2160233148

What OpenQuestion holds

Textmetadata
LicenceTDM
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.