Evidence map›Paper›PMID 38450183›Full record

ArticleFrontiers in oncology2024

BioPrev-C - development and validation of a contemporary prostate cancer risk calculator.

Thomas Hermanns, Marian S Wettstein, Basil Kaufmann, Noémie Lautenbach, Ernest Kaufmann, Karim Saba, Florian A Schmid, Andreas M Hötker, Michael Müntener, Martin Umbehr and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 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
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

11 authors at 3 institutions in 3 countries.

Thomas HermannsDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Marian S WettsteinDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Basil KaufmannDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Noémie LautenbachDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Ernest KaufmannDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Karim SabaDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Florian A SchmidDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Andreas M HötkerInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Michael MüntenerDepartment of Urology, Stadtspital Triemli, Zürich, Switzerland.
Martin UmbehrDepartment of Urology, Stadtspital Triemli, Zürich, Switzerland.
Cédric PoyetDepartment of Urology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
University of Zurich · CHUniversity of Foggia · ITTriemli Hospital · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To develop a novel biopsy prostate cancer (PCa) prevention calculator (BioPrev-C) using data from a prospective cohort all undergoing mpMRI targeted and transperineal template saturation biopsy. Materials and methods: Data of all men who underwent prostate biopsy in our academic tertiary care center between 11/2016 and 10/2019 was prospectively collected. We developed a clinical prediction model for the detection of high-grade PCa (Gleason score ≥7) based on a multivariable logistic regression model incorporating age, PSA, prostate volume, digital rectal examination, family history, previous negative biopsy, 5-alpha-reductase inhibitor use and MRI PI-RADS score. BioPrev-C performance was externally validated in another prospective Swiss cohort and compared with two other PCa risk-calculators (SWOP-RC and PBCG-RC). Results: Of 391 men in the development cohort, 157 (40.2%) were diagnosed with high-grade PCa. Validation of the BioPrev C revealed good discrimination with an area under the curve for high-grade PCa of 0.88 (95% Confidence Interval 0.82-0.93), which was higher compared to the other two risk calculators (0.71 for PBCG and 0.84 for SWOP). The BioPrev-C revealed good calibration in the low-risk range (0 - 0.25) and moderate overestimation in the intermediate risk range (0.25 - 0.75). The PBCG-RC showed good calibration and the SWOP-RC constant underestimation of high-grade PCa over the whole prediction range. Decision curve analyses revealed a clinical net benefit for the BioPrev-C at a clinical meaningful threshold probability range (≥4%), whereas PBCG and SWOP calculators only showed clinical net benefit above a 30% threshold probability. Conclusion: BiopPrev-C is a novel contemporary risk calculator for the prediction of high-grade PCa. External validation of the BioPrev-C revealed relevant clinical benefit, which was superior compared to other well-known risk calculators. The BioPrev-C has the potential to significantly and safely reduce the number of men who should undergo a prostate biopsy.

Indexed as

biopsydecision aidsnomogramsprostate cancerprostate-specific antigen

Identifiers

PMID38450183
PMCPMC10915644
OpenAlexW4391998205

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.