Evidence map›Paper›PMID 41376765›Full record

ArticleCureus2025

Evaluating Prostate-Specific Antigen (PSA) Density Thresholds for Detecting Clinically Significant Prostate Cancer in Prostate Imaging Reporting and Data System (PI-RADS) 3 Lesions: A Retrospective Cohort Study.

Muhammad A Nazir, Megan Scobie, Vignesh Balasubaramaniam, Anurag Agarwal, Ashok Kailasa, Shanmugasigamani Kannan, Kyriacos Alexandrou, Mohanarangam Thangavelu, Krassen Donev

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

9 authors.

Muhammad A NazirGeneral Surgery, Wrexham Maelor Hospital, Wrexham, GBR.
Megan ScobieGeneral Surgery, Wrexham Maelor Hospital, Wrexham, GBR.
Vignesh BalasubaramaniamSurgery, Betsi Cadwaladr University Health Board, Bangor, GBR.
Anurag AgarwalSurgery, Betsi Cadwaladr University Health Board, Bangor, GBR.
Ashok KailasaUrology, Betsi Cadwaladr University Health Board, Bangor, GBR.
Shanmugasigamani KannanUrology, Betsi Cadwaladr University Health Board, Bangor, GBR.
Kyriacos AlexandrouUrology, Betsi Cadwaladr University Health Board, Bangor, GBR.
Mohanarangam ThangaveluUrology, Betsi Cadwaladr University Health Board, Bangor, GBR.
Krassen DonevUrology, Betsi Cadwaladr University Health Board, Bangor, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction  Prostate cancer is one of the most common cancers in the world. Equivocal prostate magnetic resonance imaging (MRI) findings (Prostate Imaging Reporting and Data System [PI-RADS] 3) remain a diagnostic challenge. The use of prostate-specific antigen density (PSAD) has been suggested to help risk-stratify this cohort of patients to help guide the decision to biopsy. This study aimed to evaluate the diagnostic performance of PSAD across multiple cut-offs in detecting clinically significant prostate cancer (csPCa) in patients with PI-RADS 3 lesions.  Methods  A retrospective audit of 194 men with PI-RADS 3 lesions on multiparametric magnetic resonance imaging (mpMRI) who underwent prostate biopsy was performed. Age, prostate-specific antigen (PSA), prostate volume, and PSAD were collected. Receiver operating characteristic (ROC) analysis was used to assess model accuracy. Univariate and multivariate logistic regression were performed to identify significant predictors of csPCa. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated at PSAD thresholds of 0.10, 0.15, and 0.20 ng/mL

Indexed as

clinically significant prostate cancermultiparametric mripi-rads 3prostate-specific antigen densitypsad

Identifiers

PMID41376765
PMCPMC12688042

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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.