Evidence map›Paper›PMID 35243388›Full record

ArticleEuropean urology open science2022

Improving the Early Detection of Clinically Significant Prostate Cancer in Men in the Challenging Prostate Imaging-Reporting and Data System 3 Category.

Juan Morote, Miriam Campistol, Marina Triquell, Anna Celma, Lucas Regis, Inés de Torres, Maria E Semidey, Richard Mast, Anna Santamaria, Jacques Planas and 1 more

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

11 authors at 3 institutions in 1 country.

Juan MoroteDepartment of Urology, Vall d'Hebron Hospital, Barcelona, Spain.
Miriam CampistolProstate Cancer Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
Marina TriquellProstate Cancer Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
Anna CelmaDepartment of Urology, Vall d'Hebron Hospital, Barcelona, Spain.
Lucas RegisDepartment of Urology, Vall d'Hebron Hospital, Barcelona, Spain.
Inés de TorresProstate Cancer Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
Maria E SemideyProstate Cancer Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
Richard MastDepartment of Radiology, Vall d'Hebron Hospital, Barcelona, Spain.
Anna SantamariaProstate Cancer Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
Jacques PlanasDepartment of Urology, Vall d'Hebron Hospital, Barcelona, Spain.
Enrique TrillaDepartment of Urology, Vall d'Hebron Hospital, Barcelona, Spain.
Vall d'Hebron Institut de Recerca · ESVall d'Hebron Hospital Universitari · ESUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate Imaging-Reporting and Data System (PI-RADS) category 3 is a challenging scenario for detection of clinically significant prostate cancer (csPCa) and some tools can improve the selection of appropriate candidates for prostate biopsy.

objectiveTo assess the performance of the European Randomized Study of Screening for Prostate Cancer (ERSPC) magnetic resonance imaging (MRI) model, the new Proclarix test, and prostate-specific antigen density (PSAD) in selecting candidates for prostate biopsy among men in the PI-RADS 3 category. DESIGN SETTING AND

participantsWe conducted a head-to-head prospective analysis of 567 men suspected of having PCa for whom guided and systematic biopsies were scheduled between January 2018 and March 2020 in a single academic institution. A PI-RADS v.2 category 3 lesion was identified in 169 men (29.8%). OUTCOME MEASUREMENT AND STATISTICAL ANALYSIS: csPCa, insignificant PCa (iPCa), and unnecessary biopsy rates were analysed. csPCa was defined as grade group ≥2. Receiver operating characteristic (ROC) curves, decision curve analysis curves, and clinical utility curves were plotted. RESULTS AND LIMITATIONS: PCa was detected in 53/169 men (31.4%) with a PI-RADS 3 lesion, identified as csPCa in 25 (14.8%) and iPCa in 28 (16.6%). The area under the ROC curve for csPCa detection was 0.703 (95% confidence interval [CI] 0.621-0.768) for Proclarix, 0.657 (95% CI 0.547-0.766) for the ERSPC MRI model, and 0.612 (95% CI 0.497-0.727) for PSAD (

conclusionsProclarix was more accurate in selecting appropriate candidates for prostate biopsy among men in the PI-RADS 3 category when compared to PSAD and the ERSPC MRI model. Proclarix detected 100% of csPCa cases and would reduce prostate biopsies by 21.3% and iPCa overdetection by 5.3%. PATIENT SUMMARY: We compared three methods and found that the Proclarix test can optimise the detection of clinically significant prostate cancer in men with a score of 3 on the Prostate Imaging-Reporting and Data System for magnetic resonance imaging scans.

Indexed as

Clinically significant prostate cancerEuropean Randomized Study of Screening for Prostate Cancer predictive modelMultiparametric magnetic resonance imagingProclarixProstate-specific antigen density

Identifiers

PMID35243388
PMCPMC8883194
OpenAlexW4207049125

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.