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Conference Paper: Comparative analysis of three risk assessment models for prostate cancer in the Hong Kong Chinese population

TitleComparative analysis of three risk assessment models for prostate cancer in the Hong Kong Chinese population
Authors
Tsang, CFTsu, HLJNg, ATLWong, EMKHo, KLYiu, MK
Issue Date2014
PublisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.bjui.org/
Citation
Hong Kong Urological Association Annual Scientific Meeting, Hong Kong, 10 November 2013. In BJU International, 2014, v. 113 n. Suppl. S1, p. 6-7 How to Cite?
DOI: http://dx.doi.org/10.1111/bju.12606
AbstractObjective: To compare the performance of the Cancer of the Prostate Risk Assessment (CAPRA) score, Kattan and Stephenson nomograms in a local Chinese population. Patients & Methods: A total of 287 men from Queen Mary and Tung Wah Hospitals underwent radical prostatectomy from 1998 to 2012 for prostate cancer. Their CAPRA, Kattan and Stephenson scores were calculated by retrospective analysis. Performance of the 3 tests was evaluated using Harrell's concordance index, calibration curves plots, and decision analysis curves construction. Results: Concordance indices for all three models were favorable in the local Chinese male population. The Stephenson nomogram had the best calibration plot in predicting biochemical free recurrence probability and displayed a better performance across various threshold probabilities in the decision curve analysis. Conclusion: All three tools showed good discriminatory power with regards to the patients’ risk of biochemical recurrence with favorable concordance indices. Careful use of these assessment tools should guide the treatment options of prostate cancer.
DescriptionOral Presentation
Persistent Identifierhttp://hdl.handle.net/10722/193960
ISSN
1464-4096
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 1.337

 

DC FieldValueLanguage
dc.contributor.authorTsang, CFen_US
dc.contributor.authorTsu, HLJen_US
dc.contributor.authorNg, ATLen_US
dc.contributor.authorWong, EMKen_US
dc.contributor.authorHo, KLen_US
dc.contributor.authorYiu, MKen_US
dc.date.accessioned2014-01-28T06:38:22Z-
dc.date.available2014-01-28T06:38:22Z-
dc.date.issued2014en_US
dc.identifier.citationHong Kong Urological Association Annual Scientific Meeting, Hong Kong, 10 November 2013. In BJU International, 2014, v. 113 n. Suppl. S1, p. 6-7en_US
dc.identifier.issn1464-4096-
dc.identifier.urihttp://hdl.handle.net/10722/193960-
dc.descriptionOral Presentation-
dc.description.abstractObjective: To compare the performance of the Cancer of the Prostate Risk Assessment (CAPRA) score, Kattan and Stephenson nomograms in a local Chinese population. Patients & Methods: A total of 287 men from Queen Mary and Tung Wah Hospitals underwent radical prostatectomy from 1998 to 2012 for prostate cancer. Their CAPRA, Kattan and Stephenson scores were calculated by retrospective analysis. Performance of the 3 tests was evaluated using Harrell's concordance index, calibration curves plots, and decision analysis curves construction. Results: Concordance indices for all three models were favorable in the local Chinese male population. The Stephenson nomogram had the best calibration plot in predicting biochemical free recurrence probability and displayed a better performance across various threshold probabilities in the decision curve analysis. Conclusion: All three tools showed good discriminatory power with regards to the patients’ risk of biochemical recurrence with favorable concordance indices. Careful use of these assessment tools should guide the treatment options of prostate cancer.-
dc.languageengen_US
dc.publisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.bjui.org/-
dc.relation.ispartofBJU Internationalen_US
dc.rightsThe definitive version is available at www3.interscience.wiley.com-
dc.titleComparative analysis of three risk assessment models for prostate cancer in the Hong Kong Chinese populationen_US
dc.typeConference_Paperen_US
dc.identifier.emailTsu, HLJ: jamestsu@hku.hken_US
dc.identifier.emailHo, KL: hkl218@hkucc.hku.hken_US
dc.identifier.emailYiu, MK: pmkyiu@hku.hken_US
dc.identifier.doi10.1111/bju.12606-
dc.identifier.hkuros227500en_US
dc.identifier.volume113-
dc.identifier.issueSuppl. S1-
dc.identifier.spage6-
dc.identifier.epage7-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1464-4096-

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