Predicting clinical end points: Treatment nomograms in prostate cancer Journal Article
| Authors: | Di Blasio, C. J.; Rhee, A. C.; Cho, D.; Scardino, P. T.; Kattan, M. W. |
| Article Title: | Predicting clinical end points: Treatment nomograms in prostate cancer |
| Abstract: | Due to the generally indolent nature of prostate cancer, patients must decide among a wide range of treatments, which will significantly affect both quality of life and survival. Thus, there is a need for instruments to aid patients and their physicians in decision analysis. Nomograms are instruments that predict outcomes for the individual patient. Using algorithms that incorporate multiple variables, nomograms calculate the predicted probability that a patient will reach a clinical end point of interest. Nomograms tend to outperform both expert clinicians and predictive instruments based on risk grouping. We outline principles for nomogram construction, including considerations for choice of clinical end points and appropriate predictive variables, and methods for model validation. Currently, nomograms are available to predict progression-free probability after several primary treatments for localized prostate cancer. There is need for additional models that predict other clinical end points, especially survival adjusted for quality of life. © 2003 Elsevier Inc. All rights reserved. |
| Keywords: | cancer survival; treatment outcome; disease-free survival; review; validation process; radiotherapy, adjuvant; neoplasm staging; medical decision making; reproducibility of results; quality of life; neoplasm recurrence, local; calibration; patient education; algorithms; biopsy; cancer mortality; risk assessment; mathematical model; prostate cancer; prostate-specific antigen; prostatic neoplasms; severity of illness index; iodine 125; algorithm; prostatectomy; disease progression; predictive value of tests; brachytherapy; choice behavior; nomogram; calculation; decision support techniques; instrument; humans; prognosis; human; male; priority journal |
| Journal Title: | Seminars in Oncology |
| Volume: | 30 |
| Issue: | 5 |
| ISSN: | 0093-7754 |
| Publisher: | Elsevier Inc. |
| Date Published: | 2003-10-01 |
| Start Page: | 567 |
| End Page: | 586 |
| Language: | English |
| DOI: | 10.1016/s0093-7754(03)00351-8 |
| PUBMED: | 14571407 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Export Date: 25 September 2014 -- Source: Scopus |
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