Evidence map›Paper›PMID 35326740›Full record

ArticleCancers2022

The Barcelona Predictive Model of Clinically Significant Prostate Cancer.

Juan Morote, Angel Borque-Fernando, Marina Triquell, Anna Celma, Lucas Regis, Manel Escobar, Richard Mast, Inés M de Torres, María E Semidey, José M Abascal and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  7. BJUI compass · 2026
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  9. Predicting cancer detection rates from multiparametric prostate MRI Beyond the PI-RADS classification system.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025
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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

17 authors at 7 institutions in 1 country.

Juan MoroteDepartment of Urology, Vall d'Hebron Hospital, 08035 Barcelona, Spain.ORCID 0000-0002-2168-323X
Angel Borque-FernandoDepartment of Urology, Hospital Universitario Miguel Servet, IIS-Aragon, 50009 Zaragoza, Spain.ORCID 0000-0003-0178-4567
Marina TriquellDepartment of Urology, Vall d'Hebron Hospital, 08035 Barcelona, Spain.ORCID 0000-0003-3881-8177
Anna CelmaDepartment of Urology, Vall d'Hebron Hospital, 08035 Barcelona, Spain.
Lucas RegisDepartment of Urology, Vall d'Hebron Hospital, 08035 Barcelona, Spain.
Manel EscobarDepartment of Radiology, Vall d´Hebron Hospital, 08035 Barcelona, Spain.
Richard MastDepartment of Radiology, Vall d´Hebron Hospital, 08035 Barcelona, Spain.
Inés M de TorresDepartment of Pathology, Vall d´Hebron Hospital, 08035 Barcelona, Spain.
María E SemideyDepartment of Pathology, Vall d´Hebron Hospital, 08035 Barcelona, Spain.
José M AbascalDepartment of Urology, Parc de Salut Mar, 08003 Barcelona, Spain.
Carles SolaDepartment of Urology, Parc de Salut Mar, 08003 Barcelona, Spain.
Pol ServianDepartment of Urology, Hospital Germans Trias I Pujol, 08916 Badalona, Spain.
Daniel SalvadorDepartment of Urology, Hospital Germans Trias I Pujol, 08916 Badalona, Spain.
Anna SantamaríaUrology Research Group, Vall d´ Hebron Research Institute, 08035 Barcelona, Spain.
Jacques PlanasDepartment of Urology, Vall d'Hebron Hospital, 08035 Barcelona, Spain.ORCID 0000-0002-0222-584X
Luis M EstebanDepartment of Applied Mathematics, Escuela Universitaria Politécnica La Almunia, Universidad de Zaragoza, 50100 Zaragoza, Spain.ORCID 0000-0002-3007-302X
Enrique TrillaDepartment of Urology, Vall d'Hebron Hospital, 08035 Barcelona, Spain.
Universitat Autònoma de Barcelona · ESVall d'Hebron Hospital Universitari · ESHospital Universitari Germans Trias i Pujol · ESParc de Salut · ESHospital Universitario Miguel Servet · ESUniversidad de Zaragoza · ESVall d'Hebron Institut de Recerca · ES

Funding

Instituto de Salut Carlos III (ESP) PI20/01666Ministerio de Asuntos Económicos y Transformación Digital MIA.2021.M02.0005
6 · The paper itself

Abstract

A new and externally validated MRI-PM for csPCa was developed in the metropolitan area of Barcelona, and a web-RC designed with the new option of selecting the csPCa probability threshold. The development cohort comprised 1486 men scheduled to undergo a 3-tesla multiparametric MRI (mpMRI) and guided and/or systematic biopsies in one academic institution of Barcelona. The external validation cohort comprised 946 men in whom the same diagnostic approach was carried out as in the development cohort, in two other academic institutions of the same metropolitan area. CsPCa was detected in 36.9% of men in the development cohort and 40.8% in the external validation cohort (p = 0.054). The area under the curve of mpMRI increased from 0.842 to 0.897 in the developed MRI-PM (p < 0.001), and from 0.743 to 0.858 in the external validation cohort (p < 0.001). A selected 15% threshold avoided 40.1% of prostate biopsies and missed 5.4% of the 36.9% csPCa detected in the development cohort. In men with PI-RADS <3, 4.3% would be biopsied and 32.3% of all existing 4.2% of csPCa would be detected. In men with PI-RADS 3, 62% of prostate biopsies would be avoided and 28% of all existing 12.4% of csPCa would be undetected. In men with PI-RADS 4, 4% of prostate biopsies would be avoided and 0.6% of all existing 43.1% of csPCa would be undetected. In men with PI-RADS 5, 0.6% of prostate biopsies would be avoided and none of the existing 42.0% of csPCa would be undetected. The Barcelona MRI-PM presented good performance on the overall population; however, its clinical usefulness varied regarding the PI-RADS category. The selection of csPCa probability thresholds in the designed RC may facilitate external validation and outperformance of MRI-PMs in specific PI-RADS categories.

Indexed as

clinically significant prostate cancermagnetic resonance imagingpredictive modelrisk calculator

Identifiers

PMID35326740
PMCPMC8946272
OpenAlexW4220868691

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.