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Article: Phi-based risk calculators performed better in the prediction of prostate cancer in the Chinese population

TitlePhi-based risk calculators performed better in the prediction of prostate cancer in the Chinese population
Authors
KeywordsChinese
p2PSA
prostate biopsy
Prostate Health Index
risk calculator
Issue Date2019
Citation
Asian Journal of Andrology, 2019, v. 21, n. 6, p. 592-597 How to Cite?
AbstractRisk 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-1to 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.
Persistent Identifierhttp://hdl.handle.net/10722/314358
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.689
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, Yi Shuo-
dc.contributor.authorFu, Xiao Jian-
dc.contributor.authorNa, Rong-
dc.contributor.authorYe, Ding Wei-
dc.contributor.authorQi, Jun-
dc.contributor.authorLin, Xiao Ling-
dc.contributor.authorLiu, Fang-
dc.contributor.authorGong, Jian-
dc.contributor.authorZhang, Ning-
dc.contributor.authorJiang, Guang Liang-
dc.contributor.authorJiang, Hao Wen-
dc.contributor.authorDing, Qiang-
dc.contributor.authorXu, Jianfeng-
dc.contributor.authorSun, Ying Hao-
dc.date.accessioned2022-07-20T12:03:45Z-
dc.date.available2022-07-20T12:03:45Z-
dc.date.issued2019-
dc.identifier.citationAsian Journal of Andrology, 2019, v. 21, n. 6, p. 592-597-
dc.identifier.issn1008-682X-
dc.identifier.urihttp://hdl.handle.net/10722/314358-
dc.description.abstractRisk 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-1to 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.-
dc.languageeng-
dc.relation.ispartofAsian Journal of Andrology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectChinese-
dc.subjectp2PSA-
dc.subjectprostate biopsy-
dc.subjectProstate Health Index-
dc.subjectrisk calculator-
dc.titlePhi-based risk calculators performed better in the prediction of prostate cancer in the Chinese population-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.4103/aja.aja_125_18-
dc.identifier.pmid30924451-
dc.identifier.pmcidPMC6859657-
dc.identifier.scopuseid_2-s2.0-85074306063-
dc.identifier.volume21-
dc.identifier.issue6-
dc.identifier.spage592-
dc.identifier.epage597-
dc.identifier.eissn1745-7262-
dc.identifier.isiWOS:000502802000011-

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