Evidence map›Paper›PMID 21193912›Full record

ArticleWorld journal of urology2012

PSA density lower cutoff value as a tool to exclude pathologic upstaging in initially diagnosed unilateral prostate cancer: impact on hemiablative focal therapy.

Thomas Hofner, Jesco Pfitzenmaier, Adel Alrabadi, Sascha Pahernik, Boris Hadaschik, Nina Wagener, Nenad Djakovic, Axel Haferkamp, Markus Hohenfellner

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Article in World journal of urology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

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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

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Thomas HofnerDepartment of Urology, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. thomas.hoefner@med.uni-heidelberg.de
Jesco Pfitzenmaier
Adel Alrabadi
Sascha Pahernik
Boris Hadaschik
Nina Wagener
Nenad Djakovic
Axel Haferkamp
Markus Hohenfellner
Heidelberg University · DEGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate prostate-specific antigen density as a predictor for pathologic upstaging in patients initially thought to have unilateral prostate cancer.

methodsWe analyzed 438 patients with unilateral prostate cancer in prostate biopsy samples that were treated with radical prostatectomy. Bilateral or extracapsular growth in the final surgical specimens was defined as upstaging. Using Kaplan-Meier curves and a multivariate Cox proportional hazard model, we evaluated the oncologic effect of pathologic upstaging on biochemical recurrence-free survival. Prostate-specific antigen density was evaluated as a diagnostic tool to predict upstaging using ROC-curve analysis.

resultsOf the patients, 30.8% had bilateral prostate cancer or extracapsular extension in the surgical specimen. Prostate-specific antigen density was a diagnostic predictor for pathologic upstaging in patients initially thought to have unilateral prostate cancer (AUC 0.62, P < 0.001). Using a lower cutoff value of PSA density <0.056 ng/ml/cm3, upstaging could be excluded in patients with a sensitivity of >98%.

conclusionsA considerable amount of patients that are initially diagnosed with unilateral prostate cancer on biopsy are underdiagnosed and are upstaged in the radical prostatectomy specimen. In general, AUC of PSA density is too low to use PSA density as diagnostic tool to predict pathologic upstaging in all patients. Nonetheless, PSA density could be used for hemiablative focal therapy decision making using a lower cutoff value of <0.056 ng/ml/cm3.

Indexed as

AdultAgedAged, 80 and overDisease-Free SurvivalFollow-Up StudiesHumansMaleMiddle AgedNeoplasm StagingPredictive Value of TestsProstateProstatectomyProstate-Specific AntigenProstatic NeoplasmsProstate-Specific Antigen

Identifiers

PMID21193912
OpenAlexW1983790534

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.