Phi-based risk calculators performed better in the prediction of prostate cancer in the Chinese population
| العنوان: | Phi-based risk calculators performed better in the prediction of prostate cancer in the Chinese population |
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| المؤلفون: | Xiaoling Lin, Ning Zhang, Yishuo Wu, Fang Liu, Haowen Jiang, Qiang Ding, Dingwei Ye, Guangliang Jiang, Xiao-Jian Fu, Jianfeng Xu, Jun Qi, Yinghao Sun, Jian Gong, Rong Na |
| المصدر: | Asian Journal of Andrology, Vol 21, Iss 6, Pp 592-597 (2019) Asian Journal of Andrology |
| بيانات النشر: | Medknow, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Male, Oncology, China, medicine.medical_specialty, Prostate biopsy, p2PSA, Biopsy, Urology, Population, 030232 urology & nephrology, lcsh:RC870-923, urologic and male genital diseases, Risk Assessment, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Asian People, Prostate, Internal medicine, medicine, Humans, prostate biopsy, education, Prostate Health Index, Aged, chinese, p2psa, prostate health index, risk calculator, education.field_of_study, Chinese, 030219 obstetrics & reproductive medicine, medicine.diagnostic_test, Receiver operating characteristic, business.industry, Prostatic Neoplasms, General Medicine, Prostate-Specific Antigen, lcsh:Diseases of the genitourinary system. Urology, medicine.disease, medicine.anatomical_structure, Cohort, Original Article, Observational study, Neoplasm Grading, business |
| الوصف: | Risk prediction models including the Prostate Health Index (phi) for prostate cancer have been well established and evaluated in the Western population. The aim of this study is to build phi-based risk calculators in a prostate biopsy population and evaluate their performance in predicting prostate cancer (PCa) and high-grade PCa (Gleason score ≥7) in the Chinese population. We developed risk calculators based on 635 men who underwent initial prostate biopsy. Then, we validated the performance of prostate-specific antigen (PSA), phi, and the risk calculators in an additional observational cohort of 1045 men. We observed that the phi-based risk calculators (risk calculators 2 and 4) outperformed the PSA-based risk calculator for predicting PCa and high-grade PCa in the training cohort. In the validation study, the area under the receiver operating characteristic curve (AUC) for risk calculators 2 and 4 reached 0.91 and 0.92, respectively, for predicting PCa and high-grade PCa, respectively; the AUC values were better than those for risk calculator 1 (PSA-based model with an AUC of 0.81 and 0.82, respectively) (all P < 0.001). Such superiority was also observed in the stratified population with PSA ranging from 2.0 ng ml−1 to 10.0 ng ml−1. Decision curves confirmed that a considerable proportion of unnecessary biopsies could be avoided while applying phi-based risk calculators. In this study, we showed that, compared to risk calculators without phi, phi-based risk calculators exhibited superior discrimination and calibration for PCa in the Chinese biopsy population. Applying these risk calculators also considerably reduced the number of unnecessary biopsies for PCa. |
| تدمد: | 1008-682X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d772f8976081be7ac314e3d6785f12dd https://doi.org/10.4103/aja.aja_125_18 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....d772f8976081be7ac314e3d6785f12dd |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1008682X |
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