Evidence map›Paper›PMID 37448611›Full record

ArticleCurrent urology2023

Clinical and prostate multiparametric magnetic resonance imaging findings as predictors of general and clinically significant prostate cancer risk: A retrospective single-center study.

Matteo Massanova, Rebecca Vere, Sophie Robertson, Felice Crocetto, Biagio Barone, Lorenzo Dutto, Imran Ahmad, Mark Underwood, Jonathan Salmond, Amit Patel and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Current urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 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

12 authors at 2 institutions in 2 countries.

Matteo MassanovaDepartment of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Rebecca VereDepartment of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Sophie RobertsonDepartment of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Felice CrocettoDepartment of Neuroscience, Reproductive and Odontostomatological Sciences, School of Medicine, University of Naples "Federico II," Naples, Italy.
Biagio BaroneDepartment of Neuroscience, Reproductive and Odontostomatological Sciences, School of Medicine, University of Naples "Federico II," Naples, Italy.
Lorenzo DuttoDepartment of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Imran AhmadDepartment of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Mark UnderwoodDepartment of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Jonathan SalmondDepartment of Pathology, Queen Elizabeth University Hospital, Glasgow, UK.
Amit PatelDepartment of Radiology, Queen Elizabeth University Hospital, Glasgow, UK.
Giuseppe CelentanoDepartment of Neuroscience, Reproductive and Odontostomatological Sciences, School of Medicine, University of Naples "Federico II," Naples, Italy.
Jaimin R BhattDepartment of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Queen Elizabeth University Hospital · GBUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To evaluate the predictive values of Prostate Imaging Reporting and Data System version 2 (PI-RADS v2), prostate-specific antigen (PSA) level, PSA density (PSAD), digital rectal examination findings, and prostate volume, individually and in combination, for the detection of prostate cancer (PCa) in biopsy-naive patients. Methods: We retrospectively analyzed 630 patients who underwent transrectal systematic prostate biopsy following prostate multiparametric magnetic resonance imaging. A standard 12-core biopsy procedure was performed. Univariate and multivariate analyses were performed to determine the significant predictors of clinically significant cancer but not PCa. Results: The median age, PSA level, and PSAD were 70 years, 8.6 ng/mL, and 0.18 ng/mL/mL, respectively. A total of 374 (59.4%) of 630 patients were biopsy-positive for PCa, and 241 (64.4%) of 374 were diagnosed with clinically significant PCa (csPCa). The PI-RADS v2 score and PSAD were independent predictors of PCa and csPCa. The PI-RADS v2 score of 5 regardless of the PSAD value, or PI-RADS v2 score of 4 plus a PSAD of <0.3 ng/mL/mL, was associated with the highest csPCa detection rate (36.1%-82.1%). Instead, the PI-RADS v2 score of <3 and PSAD of <0.3 ng/mL/mL yielded the lowest risk of csPCa. Conclusion: The combination of the PI-RADS v2 score and PSAD could prove to be a helpful and reliable diagnostic tool before performing prostate biopsies. Patients with a PI-RADS v2 score of <3 and PSAD of <0.3 ng/mL/mL could potentially avoid a prostate biopsy.

Indexed as

Multiparametric magnetic resonance imagingProstate biopsyProstate cancerProstate Imaging Reporting and Data System scoreProstate-specific antigen densityTransrectal ultrasound

Identifiers

PMID37448611
PMCPMC10337816
OpenAlexW4318953854

What OpenQuestion holds

Textmetadata
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.