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Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer

To analyze the performance of the Prostate Health Index (phi) and its derivatives for predicting Gleason score (GS) upgrading between prostate biopsy and radical prostatectomy (RP) in the Chinese population, an observational, prospective RP cohort consisting of 351 patients from two medical centers...

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Autores principales: Yan, Jia-Qi, Huang, Da, Huang, Jing-Yi, Ruan, Xiao-Hao, Lin, Xiao-Ling, Fang, Zu-Jun, Gao, Yi, Jiang, Hao-Wen, Wu, Yi-Shuo, Na, Rong, Xu, Dan-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295477/
https://www.ncbi.nlm.nih.gov/pubmed/34782549
http://dx.doi.org/10.4103/aja202174
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author Yan, Jia-Qi
Huang, Da
Huang, Jing-Yi
Ruan, Xiao-Hao
Lin, Xiao-Ling
Fang, Zu-Jun
Gao, Yi
Jiang, Hao-Wen
Wu, Yi-Shuo
Na, Rong
Xu, Dan-Feng
author_facet Yan, Jia-Qi
Huang, Da
Huang, Jing-Yi
Ruan, Xiao-Hao
Lin, Xiao-Ling
Fang, Zu-Jun
Gao, Yi
Jiang, Hao-Wen
Wu, Yi-Shuo
Na, Rong
Xu, Dan-Feng
author_sort Yan, Jia-Qi
collection PubMed
description To analyze the performance of the Prostate Health Index (phi) and its derivatives for predicting Gleason score (GS) upgrading between prostate biopsy and radical prostatectomy (RP) in the Chinese population, an observational, prospective RP cohort consisting of 351 patients from two medical centers was established from January 2017 to September 2020. Pathological reclassification was determined by the Gleason Grade Group (GG). The area under the receiver operating characteristic curve (AUC) and logistic regression (LR) models were used to evaluate the predictive performance of predictors. In clinically low-risk patients with biopsy GG ≤ 2, phi (odds ratio [OR] = 1.80, 95% confidence interval [95% CI]: 1.14–2.82, P = 0.01) and its derivative phi density (PHID; OR = 2.34, 95% CI: 1.30–4.20, P = 0.005) were significantly associated with upgrading to GG ≥3 after RP, and the results were confirmed by multivariable analysis. Similar results were observed in patients with biopsy GG of 1 for the prediction of upgrading to RP GG ≥2. Compared to the base model (AUC = 0.59), addition of the phi or PHID could provide additional predictive value for GS upgrading in low-risk patients (AUC = 0.69 and 0.71, respectively, both P < 0.05). In conclusion, phi and PHID could predict GS upgrading after RP in clinically low-risk patients.
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spelling pubmed-92954772022-07-20 Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer Yan, Jia-Qi Huang, Da Huang, Jing-Yi Ruan, Xiao-Hao Lin, Xiao-Ling Fang, Zu-Jun Gao, Yi Jiang, Hao-Wen Wu, Yi-Shuo Na, Rong Xu, Dan-Feng Asian J Androl Original Article To analyze the performance of the Prostate Health Index (phi) and its derivatives for predicting Gleason score (GS) upgrading between prostate biopsy and radical prostatectomy (RP) in the Chinese population, an observational, prospective RP cohort consisting of 351 patients from two medical centers was established from January 2017 to September 2020. Pathological reclassification was determined by the Gleason Grade Group (GG). The area under the receiver operating characteristic curve (AUC) and logistic regression (LR) models were used to evaluate the predictive performance of predictors. In clinically low-risk patients with biopsy GG ≤ 2, phi (odds ratio [OR] = 1.80, 95% confidence interval [95% CI]: 1.14–2.82, P = 0.01) and its derivative phi density (PHID; OR = 2.34, 95% CI: 1.30–4.20, P = 0.005) were significantly associated with upgrading to GG ≥3 after RP, and the results were confirmed by multivariable analysis. Similar results were observed in patients with biopsy GG of 1 for the prediction of upgrading to RP GG ≥2. Compared to the base model (AUC = 0.59), addition of the phi or PHID could provide additional predictive value for GS upgrading in low-risk patients (AUC = 0.69 and 0.71, respectively, both P < 0.05). In conclusion, phi and PHID could predict GS upgrading after RP in clinically low-risk patients. Wolters Kluwer - Medknow 2021-11-12 /pmc/articles/PMC9295477/ /pubmed/34782549 http://dx.doi.org/10.4103/aja202174 Text en Copyright: ©The Author(s)(2021) https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Yan, Jia-Qi
Huang, Da
Huang, Jing-Yi
Ruan, Xiao-Hao
Lin, Xiao-Ling
Fang, Zu-Jun
Gao, Yi
Jiang, Hao-Wen
Wu, Yi-Shuo
Na, Rong
Xu, Dan-Feng
Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer
title Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer
title_full Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer
title_fullStr Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer
title_full_unstemmed Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer
title_short Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer
title_sort prostate health index (phi) and its derivatives predict gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295477/
https://www.ncbi.nlm.nih.gov/pubmed/34782549
http://dx.doi.org/10.4103/aja202174
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