The 'CaP Calculator': an online decision support tool for clinically localized prostate cancer

被引:15
|
作者
Katz, Matthew S. [1 ,2 ]
Efstathiou, Jason A. [2 ]
D'Amico, Anthony V. [3 ,4 ]
Kattan, Michael W. [5 ]
Sanda, Martin G. [6 ]
Nguyen, Paul L. [3 ,4 ]
Smith, Matthew R. [7 ]
Carroll, Peter R. [8 ]
Zietman, Anthony L. [2 ]
机构
[1] St Med Ctr, Dept Radiat Oncol, Radiat Oncol Associates, Lowell, MA 01852 USA
[2] Massachusetts Gen Hosp, Dept Radiat Oncol, Boston, MA 02114 USA
[3] Brigham & Womens Hosp, Dept Radiat Oncol, Boston, MA 02115 USA
[4] Dana Farber Canc Inst, Boston, MA 02115 USA
[5] Cleveland Clin Fdn, Dept Quantitat Hlth Sci, Cleveland, OH 44195 USA
[6] Massachusetts Gen Hosp, Beth Israel Deaconess Med Ctr, Dept Surg, Boston, MA 02114 USA
[7] Massachusetts Gen Hosp, Div Hematol Oncol, Boston, MA 02114 USA
[8] Univ Calif San Francisco, Med Ctr, Dept Urol, San Francisco, CA 94143 USA
关键词
prostate cancer; decision support; surgery; radiotherapy; shared decision-making; PREDICT PATHOLOGICAL STAGE; RADICAL PROSTATECTOMY; PRETREATMENT NOMOGRAM; PREOPERATIVE NOMOGRAM; GLEASON SCORE; DISEASE RECURRENCE; RADIATION-THERAPY; RADIOTHERAPY; ANTIGEN; RISK;
D O I
10.1111/j.1464-410X.2010.09290.x
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE To design a decision-support tool to facilitate evidence-based treatment decisions in clinically localized prostate cancer, as individualized risk assessment and shared decision-making can decrease distress and decisional regret in patients with prostate cancer, but current individual models vary or only predict one outcome of interest. METHODS We searched Medline for previous reports and identified peer-reviewed articles providing pretreatment predictive models that estimated pathological stage and treatment outcomes in men with biopsy-confirmed, clinical T1-3 prostate cancer. Each model was entered into a spreadsheet to provide calculated estimates of extracapsular extension (ECE), seminal vesicle invasion (SVI), and lymph node involvement (LNI). Estimates of the prostate-specific antigen (PSA) outcome after radical prostatectomy (RP) or radiotherapy (RT), and clinical outcomes after RT, were also entered. The data are available at http://www.capcalculator.org. RESULTS Entering a patient's 2002 clinical T stage, Gleason score and pretreatment PSA level, and details from core biopsy findings, into the CaP Calculator provides estimates from predictive models of pathological extent of disease, four models for ECE, four for SVI and eight for LNI. The 5-year estimates of PSA relapse-free survival after RT and 10-year estimates after RP were available. A printout can be generated with individualized results for clinicians to review with each patient. CONCLUSIONS The CaP Calculator is a free, online 'clearing house' of several predictive models for prostate cancer, available in an accessible, user-friendly format. With further development and testing with patients, the CaP Calculator might be a useful decision-support tool to help doctors promote evidence-based shared decision-making in prostate cancer.
引用
收藏
页码:1417 / 1422
页数:6
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