Evidence map›Paper›PMID 42591143›Full record

ArticleResearch and reports in urology2026

External Validation of the PROMOD Strategy, Combining PI-RADS Score and PSA Density, to Select Patients for Prostatic Biopsies.

Clémentine Le Méner, Emmanuel Nowak, Alexandre Fourcade, Valentin Tissot, Audrey Zambon, Claire Siebert, Joséphine Renand, Laurent Doucet, Arnaud Uguen, Georges Fournier and 1 more

Abstract read
In one paragraph

Article in Research and reports in urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Clémentine Le MénerUrology Department, CHU Brest, Brest, France.ORCID 0009-0009-2076-7835
Emmanuel NowakStatistics Department, CHU Brest, Brest, France.
Alexandre FourcadeUrology Department, CHU Brest, Brest, France.
Valentin TissotRadiology Department, CHU Brest, Brest, France.
Audrey ZambonUrology Department, CHU Brest, Brest, France.
Claire SiebertUrology Department, CHU Brest, Brest, France.
Joséphine RenandUrology Department, CHU Brest, Brest, France.
Laurent DoucetPathology Department, CHU Brest, Brest, France.
Arnaud UguenPathology Department, CHU Brest, Brest, France.
Georges FournierUrology Department, CHU Brest, Brest, France.
Antoine ValeriUrology Department, CHU Brest, Brest, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Combining MRI PI-RADS score (Prostate Imaging Reporting and Data System) with prostate-specific antigen density (PSAd) may optimize prostate biopsy (PBx) decisions. We aimed to externally validate the PROMOD strategy, combining PI-RADS with PSAd. Patients and Methods: We retrospectively included 972 men who underwent PBx, i.e. 12-core systematic, 2-4 targeted (MRI-FUSION) between 2013 and 2022, recorded in a prospectively maintained database. Patients with PSA > 20 ng/mL or prior prostate cancer (PCa) were excluded. We evaluated rates of avoided PBx, missed low-grade cancers, and csPCa (ISUP grade ≥2) according to 10 strategies. Decision curve analysis (DCA) assessed net benefit. Results: According to DCA, the highest net benefit in biopsy-naïve men was obtained by Strategies 8 (PI-RADS 4-5 or PI-RADS 3 with PSAd >0.15 ng/mL Conclusion: The PROMOD Strategy is an effective tool allowing a tailored decision to perform PBx based on degrees of risk that both patients and clinicians are willing to accept, in the context of shared decision-making.

Indexed as

magnetic resonance imagingprostate biopsyprostate cancerPSA density

Identifiers

PMID42591143
PMCPMC13461381

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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.