Evidence map›Paper›PMID 40115486›Full record

ArticleCentral European journal of urology2024

Outcomes and predictors of clinically significant prostate cancer detection by transperineal computer fusion biopsy during active surveillance.

Tomasz Milecki, Wojciech Malewski, Anna Barnaś, Omar Tayara, Andrzej Antczak, Piotr Kryst, Łukasz Nyk

Abstract read
In one paragraph

Article in Central European journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Tomasz MileckiDepartment of Urology, Poznan University of Medical Sciences, Poland.
Wojciech MalewskiSecond Department of Urology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Anna BarnaśDepartment of Urology, Poznan University of Medical Sciences, Poland.
Omar TayaraSecond Department of Urology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Andrzej AntczakDepartment of Urology, Poznan University of Medical Sciences, Poland.
Piotr KrystSecond Department of Urology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Łukasz NykSecond Department of Urology, Centre of Postgraduate Medical Education, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Active surveillance (AS) is an option for management of low-risk and selected intermediate prostate cancer (PC) patients. Pathological progression confirmed on prostate biopsy (PB) is the most common reason for transitioning to radical treatment. The role and timing of repeat PB during AS is a topic of ongoing debate.The aim of the study was to determine the detection rate of clinically significant PC (csPC) during AS protocol by transperineal computer fusion PB in low-risk PC patients enrolled based on results of transrectal systematic PB, and to identify predictors that may impact csPC detection. Material and methods: The study involved 95 patients with low-risk PC enrolled in AS, who underwent confirmatory or follow-up PB, proceeded by mpMRI. Results: The reclassification rate to csPC was 38.9% and 43.9% for confirmatory and follow-up biopsies, respectively. Patients with csPC differed significantly from those without csPC in the following parameters: prostate-specific antigen (PSA) 10.5 ng/ml vs 7.3 ng/ml (p = 0.029), PSA density (PSAD) 0.27 ng/ml Conclusions: Confirmatory and repeat transperineal PB detect a significant rate of csPC in low-risk PC patients on AS. Higher PIRADS score and PSAD >0.20 ng/ml

Indexed as

active surveillancemultiparametric magnetic resonanceprostate cancerprostate fusion biopsy

Identifiers

PMID40115486
PMCPMC11921957

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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.