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  • Prediction of pathological stage at radical prostatectomy: do commonly used prostate cancer nomograms apply to men from Far North Queensland?

    Author(s)
    Nesbitt, Alexander L
    Kapoor, Jada
    Piesse, Charlotte
    Evans, Garrath
    Antoniou, Stefan
    Smith, Philip
    Pridgeon, Simon W
    Griffith University Author(s)
    Nesbitt, Alexander L.
    Year published
    2019
    Metadata
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    Abstract
    Background: Clinical nomograms are routinely used by urologists to predict pathological and clinical outcomes. Commonly used prostate cancer nomograms include Partin's tables and Memorial Sloan Kettering Cancer Centre (MSKCC) nomograms which were developed in high-volume centres in the United States. We aimed to assess whether these tools are valid for prostate cancer patients in Far North Queensland. Methods: All patients undergoing radical prostatectomy in Cairns between August 2014 and September 2017 were identified. Preoperative data were entered into the online nomogram tools. The predicted probability of organ-confined ...
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    Background: Clinical nomograms are routinely used by urologists to predict pathological and clinical outcomes. Commonly used prostate cancer nomograms include Partin's tables and Memorial Sloan Kettering Cancer Centre (MSKCC) nomograms which were developed in high-volume centres in the United States. We aimed to assess whether these tools are valid for prostate cancer patients in Far North Queensland. Methods: All patients undergoing radical prostatectomy in Cairns between August 2014 and September 2017 were identified. Preoperative data were entered into the online nomogram tools. The predicted probability of organ-confined (OC) disease, extra-prostatic extension (EPE) and seminal vesical invasion was compared to the observed outcomes. Results: Preoperative clinical information was available for 290 patients. Partin's tables accurately estimated OC disease, EPE and seminal vesical invasion with the observed outcome plot overlying the ideal correlation curve. More patients in our cohort had OC disease than was predicted by the MSKCC nomogram; fewer patients had EPE that was predicted by the MSKCC nomogram. On logistic regression modelling, the area under the curve for MSKCC and Partin's were 0.751 and 0.706, respectively, suggesting both tests have good performance in predicting final pathological outcome for our population of patients with no statistical difference between the two nomograms (P = 0.29). Conclusion: The MSKCC preoperative nomogram and Partin's tables were both able to accurately predict pathological outcomes from preoperative clinical information in men from Far North Queensland, despite likely differences in population genetics and environmental exposures.
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    Journal Title
    ANZ Journal of Surgery
    Volume
    89
    Issue
    1-2
    DOI
    https://doi.org/10.1111/ans.14960
    Subject
    Clinical sciences
    Science & Technology
    Life Sciences & Biomedicine
    Surgery
    nomogram
    prostate cancer
    Publication URI
    http://hdl.handle.net/10072/388330
    Collection
    • Journal articles

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