Dataset Information

Pre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancer.

ABSTRACT:

Objectives

Although the incidence of prostate cancer (PCa) is rapidly increasing in Korea, there are few suitable prediction models for disease recurrence after radical prostatectomy (RP). We established pre- and post-operative nomograms estimating biochemical recurrence (BCR)-free probability after RP in Korean men with clinically localized PCa.

Patients and methods

Our sampling frame included 3,034 consecutive men with clinically localized PCa who underwent RP at our tertiary centers from June 2004 through July 2011. After inappropriate data exclusion, we evaluated 2,867 patients for the development of nomograms. The Cox proportional hazards regression model was used to develop pre- and post-operative nomograms that predict BCR-free probability. Finally, we resampled from our study cohort 200 times to determine the accuracy of our nomograms on internal validation, which were designated with concordance index (c-index) and further represented by calibration plots.

Results

Over a median of 47 months of follow-up, the estimated BCR-free rate was 87.8% (1 year), 83.8% (2 year), and 72.5% (5 year). In the pre-operative model, Prostate-Specific Antigen (PSA), the proportion of positive biopsy cores, clinical T3a and biopsy Gleason score (GS) were independent predictive factors for BCR, while all relevant predictive factors (PSA, extra-prostatic extension, seminal vesicle invasion, lymph node metastasis, surgical margin, and pathologic GS) were associated with BCR in the post-operative model. The c-index representing predictive accuracy was 0.792 (pre-) and 0.821 (post-operative), showing good fit in the calibration plots.

Conclusions

In summary, we developed pre- and post-operative nomograms predicting BCR-free probability after RP in a large Korean cohort with clinically localized PCa. These nomograms will be provided as the mobile application-based SNUH Prostate Cancer Calculator. Our nomograms can determine patients at high risk of disease recurrence after RP who will benefit from adjuvant therapy.

SUBMITTER: Kang M

PROVIDER: S-EPMC4061043 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Pre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancer.

Kang Minyong M Jeong Chang Wook CW Choi Woo Suk WS Park Yong Hyun YH Cho Sung Yong SY Lee Sangchul S Lee Seung Bae SB Ku Ja Hyeon JH Hong Sung Kyu SK Byun Seok-Soo SS Jeong Hyeon H Kwak Cheol C Kim Hyeon Hoe HH Lee Eunsik E Lee Sang Eun SE

PloS one 20140617 6

<h4>Objectives</h4>Although the incidence of prostate cancer (PCa) is rapidly increasing in Korea, there are few suitable prediction models for disease recurrence after radical prostatectomy (RP). We established pre- and post-operative nomograms estimating biochemical recurrence (BCR)-free probability after RP in Korean men with clinically localized PCa.<h4>Patients and methods</h4>Our sampling frame included 3,034 consecutive men with clinically localized PCa who underwent RP at our tertiary ce ...[more]

PMID: 24936784

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Dataset Information

Pre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancer.

Objectives

Patients and methods

Results

Conclusions

Publications

Pre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancer.

Similar Datasets

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