ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2021
Predicting the risk of prostate cancer in asymptomatic men: a cohort study to develop and validate a novel algorithm.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Association of cigarette smoking habits with the risk of prostate cancer: a systematic review and meta-analysis.BMC public health · 2023Pooled it
- Fasting blood glucose to HDL-C ratio as a potential biomarker for prostate cancer risk classification.BMC urology · 2026Article
- Does inclusion of neighborhood variables improve clinical risk prediction for advanced prostate cancer in Black and White men?Urologic oncology · 2025Article
- Association Between Diabetes and Risk of Prostate Cancer: A Systematic Review and Meta-Analysis of Observational Studies.The world journal of men's health · 2025Article
- Awareness of Genitourinary Cancers Risk Factors-A 2024 Population-Based Cross-Sectional Study in Poland.International journal of public health · 2024Article
- Reliability of Multiparametric Magnetic Resonance Imaging in Patients with a Previous Negative Biopsy: Comparison with Biopsy-Naïve Patients in the Detection of Clinically Significant Prostate Cancer.Diagnostics (Basel, Switzerland) · 2023Article
- Third-dose SARS-CoV-2 mRNA vaccine increases Omicron variant neutralization in patients with chronic myeloid disorders.Blood advances · 2023Article
- Urinary symptoms and prostate cancer-the misconception that may be preventing earlier presentation and better survival outcomes.BMC medicine · 2022Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiagnosis of prostate cancer at an early stage can potentially identify tumours when intervention may improve treatment options and survival.
aimTo develop and validate an equation to predict absolute risk of prostate cancer in asymptomatic men with prostate specific antigen (PSA) tests in primary care. DESIGN AND
settingCohort study using data from English general practices, held in the QResearch database.
methodRoutine data were collected from 1098 QResearch English general practices linked to mortality, hospital, and cancer records for model development. Two separate sets of practices were used for validation. In total, there were 844 455 men aged 25-84 years with PSA tests recorded who were free of prostate cancer at baseline in the derivation cohort; the validation cohorts comprised 292 084 and 316 583 men. The primary outcome was incident prostate cancer. Cox proportional hazards models were used to derive 10-year risk equations. Measures of performance were determined in both validation cohorts.
resultsThere were 40 821 incident cases of prostate cancer in the derivation cohort. The risk equation included PSA level, age, deprivation, ethnicity, smoking status, serious mental illness, diabetes, BMI, and family history of prostate cancer. The risk equation explained 70.4% (95% CI = 69.2 to 71.6) of the variation in time to diagnosis of prostate cancer (
conclusionThe risk equation provided valid measures of absolute risk and had higher sensitivity for incident prostate cancer, high-grade cancers, and prostate cancer mortality than a simple approach based on age and PSA threshold.
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