ArticleAsian journal of andrology2013
A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer.
Article in Asian journal of andrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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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.
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Who cites it
26 citing papers in PubMed, 45 citations in OpenAlex.
- Trial
- Establishment and validation of serum lipid-based nomogram for predicting the risk of prostate cancer.BMC urology · 2023Trial
- Trial
- Primary healthcare-friendly prostate cancer prediction model using routine clinical parameters: a multicenter study.Frontiers in oncology · 2026Article
- A nomogram with coagulation markers for prostate cancer prediction in patients with PSA levels of 4-20 ng/mL.Future oncology (London, England) · 2025Article
- Prostate cancer nomograms and their application in Asian men: a review.Prostate international · 2024Review
- The influence of age on prostate cancer screening index.Journal of clinical laboratory analysis · 2022Article
- Development and internal validation of a prediction model of prostate cancer on initial transperineal template-guided prostate biopsy.BMC urology · 2021Article
- MRI-Based Nomogram of Prostate Maximum Sectional Area and Its Zone Area for Prediction of Prostate Cancer.Frontiers in oncology · 2021Article
- Establishing a novel prediction model for improving the positive rate of prostate biopsy.Translational andrology and urology · 2020Article
- The prediction value of PI-RADS v2 score in high-grade Prostate Cancer: a multicenter retrospective study.International journal of medical sciences · 2020Article
- Multivariable Models Incorporating Multiparametric Magnetic Resonance Imaging Efficiently Predict Results of Prostate Biopsy and Reduce Unnecessary Biopsy.Frontiers in oncology · 2020Article
- Establishment and Validation of Extra-transitional Zone Prostate Specific Antigen Density (ETzD), a Novel Structure-based Parameter for Quantifying the Oncological Hazard of Prostates with Enlarged Stroma.Scientific reports · 2019Article
- A Nomogram Based on a TRUS Five-Grade Scoring System for the Prediction of Prostate Cancer and High Grade Prostate Cancer at Initial TRUS-Guided Biopsy.Journal of Cancer · 2018Article
- Radical prostatectomy in patients aged 75 years or older: review of the literature.Asian journal of andrology · 2017Review
- Article
- Prostate transitional zone volume-based nomogram for predicting prostate cancer and high progression prostate cancer in a real-world population.Journal of cancer research and clinical oncology · 2017Article
- Configuration and validation of a novel prostate disease nomogram predicting prostate biopsy outcome: A prospective study correlating clinical indicators among Filipino adult males with elevated PSA level.Asian journal of urology · 2015Article
- Article
- Prostate cancer nomograms: a review of their use in cancer detection and treatment.Current urology reports · 2014Review
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nomograms for predicting the risk of prostate cancer developed using other populations may introduce sizable bias when applied to a Chinese cohort. In the present study, we sought to develop a nomogram for predicting the probability of a positive initial prostate biopsy in a Chinese population. A total of 535 Chinese men who underwent a prostatic biopsy for the detection of prostate cancer in the past decade with complete biopsy data were included. Stepwise logistic regression was used to determine the independent predictors of a positive initial biopsy. Age, prostate-specific antigen (PSA), prostate volume (PV), digital rectal examination (DRE) status, % free PSA and transrectal ultrasound (TRUS) findings were included in the analysis. A nomogram model was developed that was based on these independent predictors to calculate the probability of a positive initial prostate biopsy. A receiver-operating characteristic curve was used to assess the accuracy of using the nomogram and PSA levels alone for predicting positive prostate biopsy. The rate for positive initial prostate biopsy was 41.7% (223/535). The independent variables used to predict a positive initial prostate biopsy were age, PSA, PV and DRE status. The areas under the receiver-operating characteristic curve for a positive initial prostate biopsy for PSA alone and the nomogram were 79.7% and 84.8%, respectively. Our results indicate that the risk of a positive initial prostate biopsy can be predicted to a satisfactory level in a Chinese population using our nomogram. The nomogram can be used to identify and counsel patients who should consider a prostate biopsy, ultimately enhancing accuracy in diagnosing prostate cancer.
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Registered trials
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.