Evidence map›Paper›PMID 40931208›Full record

ArticleWorld journal of urology2025

Algorithm to detect ISUP ≥ 2 prostate cancer using canine detection.

Margaux Hermieu, Alice Roux, Loïc Desquilbet, Nicolas Hermieu, Capucine Gallet, Evanguelos Xylinas, Alexandre de La Taille, Dominique Grandjean, Jean-François Hermieu

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in World journal of urology, 2025. 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

9 authors.

Margaux HermieuNational Veterinary School of Alfort, Nosaïs Team, Maisons-Alfort, France. margaux.hermieu@gmail.com.
Alice RouxNational Veterinary School of Alfort, Nosaïs Team, Maisons-Alfort, France.
Loïc DesquilbetNational Veterinary School of Alfort, Nosaïs Team, Maisons-Alfort, France.
Nicolas HermieuBichat Claude Bernard Hospital, Public Assistance of Paris Hospitals, Paris, France.
Capucine GalletNational Veterinary School of Alfort, Nosaïs Team, Maisons-Alfort, France.
Evanguelos XylinasBichat Claude Bernard Hospital, Public Assistance of Paris Hospitals, Paris, France.
Alexandre de La TailleHenri Mondor Hospital, Assistance Publique des Hôpitaux de Paris, Paris, France.
Dominique GrandjeanNational Veterinary School of Alfort, Nosaïs Team, Maisons-Alfort, France.
Jean-François HermieuBichat Claude Bernard Hospital, Public Assistance of Paris Hospitals, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeScreening and diagnosing ISUP ≥ 2 prostate cancer is challenging. This study aimed to determine whether canine detection could be beneficial addition to the ISUP ≥ 2 prostate cancer diagnostic protocol by creating a decision-making algorithm for men with suspected prostate cancer.

methodsWe conducted a prospective study at two urology institutions and a French veterinary school, including men with a suspicion of prostate cancer from November to April 2023, which were divided into two groups according to their prostate biopsy results. Eight binary variables known to be associated with a higher risk of prostate cancer were considered: body mass index, family history, age, smoking status, hypertension, digital rectal examination,

results151 patients were included, 78 with ISUP ≥2 prostate cancer, and 73 without. The ProstateDetectScore was based on age, blood pressure, digital rectal examination, and MRI.[Formula: see text]Weight

Indexed as

AlgorithmsProstatic NeoplasmsAgedAnimalsDogsHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesDecision algorithmDiagnostic scoreDogsOlfactory detectionProstate cancer diagnostic

Identifiers

PMID40931208

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.