ArticleClinical cancer research : an official journal of the American Association for Cancer Research2010
The relationship between prostate-specific antigen and prostate cancer risk: the Prostate Biopsy Collaborative Group.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03891732 (The Use of MRI Prostate in Improving Detection of Significant Prostate Cancer in a Screening Population of Chinese Men With Elevated PSA), which is not on this map. Cited by 55 papers, 2 of them syntheses that pooled it.
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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.
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.
The Use of MRI Prostate in Improving Detection of Significant Prostate Cancer in a Screening Population of Chinese Men With Elevated PSA
Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.
- The Memorial Sloan Kettering Cancer Center Recommendations for Prostate Cancer Screening.Urology · 2016Guideline
- Clinical use of [-2]proPSA (p2PSA) and its derivatives (%p2PSA and Prostate Health Index) for the detection of prostate cancer: a review of the literature.Korean journal of urology · 2014Pooled it
- Active monitoring, radical prostatectomy and radical radiotherapy in PSA-detected clinically localised prostate cancer: the ProtecT three-arm RCT.Health technology assessment (Winchester, England) · 2020Trial
- Prostate Cancer Prevention Trial risk calculator 2.0 for the prediction of low- vs high-grade prostate cancer.Urology · 2014Trial
- Empirical estimates of prostate cancer overdiagnosis by age and prostate-specific antigen.BMC medicine · 2014Trial
- Trial
- Variation in Prostate Magnetic Resonance Imaging Performance: Data from the Prostate Biopsy Collaborative Group.European urology oncology · 2026Article
- Prostate cancer in China: epidemiological trends, genomic insights, and future directions for optimized management.Journal of the National Cancer Center · 2025Review
- Prognostic properties of the baseline prostate-specific antigen value-insights from the European randomized study of screening for prostate cancer.Translational andrology and urology · 2024Article
- BioPrev-C - development and validation of a contemporary prostate cancer risk calculator.Frontiers in oncology · 2024Article
- The combined role of MRI prostate and prostate health index in improving detection of significant prostate cancer in a screening population of Chinese men.Asian journal of andrology · 2023Article
- Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review.Cancers · 2022Review
- Accommodating heterogeneous missing data patterns for prostate cancer risk prediction.BMC medical research methodology · 2022Article
- Prostate cancer detection rate in men undergoing transperineal template-guided saturation and targeted prostate biopsy.The Prostate · 2022Article
- [Active surveillance-much safety, little recruitment : Is it possible to extend the indication for "intermediate-risk" prostate cancer?]Der Urologe. Ausg. A · 2021Observational
- Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsy.BMC urology · 2021Article
- Personalized strategies in population screening for prostate cancer.International journal of cancer · 2020Review
- Analysis of risk factors for post-bacillus Calmette-Guerin-induced prostatitis in patients with non-muscle invasive bladder cancer.Scientific reports · 2020Article
- Early Diagnosis of Prostate Cancer from the Perspective of Chinese Physicians.Journal of Cancer · 2020Review
- Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk tools.BMC medical research methodology · 2019Article
Corrections and comments
- Commented on by
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- Erratum issued
Authors and funding
22 authors at 4 institutions in 3 countries.
Funding
Abstract
purposeThe relationship between prostate-specific antigen (PSA) level and prostate cancer risk remains subject to fundamental disagreements. We hypothesized that the risk of prostate cancer on biopsy for a given PSA level is affected by identifiable characteristics of the cohort under study. EXPERIMENTAL
designWe used data from five European and three U.S. cohorts of men undergoing biopsy for prostate cancer; six were population-based studies and two were clinical cohorts. The association between PSA and prostate cancer was calculated separately for each cohort using locally weighted scatterplot smoothing.
resultsThe final data set included 25,772 biopsies and 8,503 cancers. There were gross disparities between cohorts with respect to both the prostate cancer risk at a given PSA level and the shape of the risk curve. These disparities were associated with identifiable differences between cohorts: for a given PSA level, a greater number of biopsy cores increased the risk of cancer (odds ratio for >6- versus 6-core biopsy, 1.35; 95% confidence interval, 1.18-1.54; P < 0.0005); recent screening led to a smaller increase in risk per unit change in PSA (P = 0.001 for interaction term) and U.S. cohorts had higher risk than the European cohorts (2.14; 95% confidence interval, 1.99-2.30; P < 0.0005).
conclusionsOur results suggest that the relationship between PSA and risk of a positive prostate biopsy varies, both in terms of the probability of prostate cancer at a given PSA value and the shape of the risk curve. This poses challenges to the use of PSA-driven algorithms to determine whether biopsy is indicated.
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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.