Evidence map›Paper›PMID 40033313›Full record

ArticleBMC urology2025

Optimal PSA density threshold for prostate biopsy in benign prostatic obstruction patients with elevated PSA levels but negative MRI findings.

Yiji Peng, Chengcheng Wei, Ying Li, Fuhan Zhao, Yuan Liu, Tao Jiang, Zhipeng Chen, Jun Zheng, Jiong Fu, Peng Wang and 1 more

Abstract read
In one paragraph

Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Beyond Total PSA: Clinical Significance of S2,3PSA% in Reducing Unnecessary Prostate Biopsies.International journal of urology : official journal of the Japanese Urological Association · 2026
    Review
  6. 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.

Yiji Peng *Department of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Chengcheng Wei *Department of Urology, Chongqing public health medical center, Chongqing, 400038, China.
Ying LiCenter for Medical Big Data and Artificial Intelligence, Southwest Hospital, Army Medical University, (Third Military Medical University), Chongqing, 400038, China.
Fuhan ZhaoDepartment of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Yuan LiuDepartment of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Tao JiangDepartment of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Zhipeng ChenDepartment of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Jun ZhengDepartment of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Jiong FuDepartment of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Peng WangCenter for Medical Big Data and Artificial Intelligence, Southwest Hospital, Army Medical University, (Third Military Medical University), Chongqing, 400038, China.
Wenhao ShenDepartment of Urology, Southwest Hospital, Army Medical University, (Third Military Medical University), No.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. chongqingswh@aliyun.com.ORCID http://orcid.org/0000-0002-4410-128X

Funding

the Chongqing Key Programs of Science and Health Cooperation 2022ZDXM013
6 · The paper itself

Abstract

purposeThis study was designed to identify a useful clinical parameter or model for prostate biopsy in surgery-indicated benign prostate hyperplasia (BPH) patients with elevated PSA levels and negative multiparametric prostate magnetic resonance imaging (MRI) results. PATIENTS AND

methodsWe retrospectively analyzed clinical and pathological data from patients who were diagnosed with BPH and admitted to the inpatient department for surgery between January 2010 and September 2020. Clinical data, including age, prostate specific antigen (PSA) level, F/T PSA ratio, prostate volume, and PSA density (PSAD), were used for comprehensive analysis. Univariate and multivariate logistic regression analyses were performed to develop a predictive model. Receiver operating characteristic (ROC) analysis and decision curve analysis (DCA) were performed to assess the diagnostic value of the predictive model, PSA concentration, F/T PSA ratio and PSAD.

resultsA total of 318 patients were included in the study, 8.2% (26/318) of whom were histologically diagnosed with prostate cancer (PCa). Univariate and multivariate logistic regression analyses revealed that PSAD was the only independent predictor of PCa biopsy. ROC curve analysis of PCa detection revealed a larger area under the curve (AUC) for the predictive model (AUC 0.855) and for PSAD (AUC 0.848) than for PSA (AUC 0.722) or the F/T PSA ratio (AUC 0.635). DCA demonstrated that the optimal strategy would be to restrict biopsies to men with a PSAD of 0.30 ng/ml/cm3.

conclusionsOur study suggested that for BPH patients with surgical indications who present with PSA abnormalities and negative imaging findings, the use of a new PSAD threshold of 0.30 ng/ml/cm3 could facilitate convenient and sound biopsy decisions. This approach could reduce the complications and length of hospital stay associated with biopsies and reduce hospital costs.

Indexed as

ProstateProstate-Specific AntigenProstatic HyperplasiaAgedBiopsyHumansMagnetic Resonance ImagingMaleMiddle AgedProstatic NeoplasmsRetrospective StudiesProstate-Specific AntigenBenign prostate hyperplasiaProstate biopsyProstate cancerProstate MRIPSA density

Identifiers

PMID40033313
PMCPMC11874838

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.