MULTIVARIATE-ANALYSIS OF PROGNOSTIC VARIABLES IN PATIENTS WITH METASTATIC TESTICULAR CANCER

Authors:
  • GBGJ BOSL
    GJ BOSL
  • NGNL GELLER
    NL GELLER
  • CCC CIRRINCIONE
    C CIRRINCIONE
  • NVNJ VOGELZANG
    NJ VOGELZANG
  • BKBJ KENNEDY
    BJ KENNEDY
  • WWWF WHITMORE
    WF WHITMORE
  • DVD VUGRIN
    D VUGRIN
  • HSH SCHER
    H SCHER
  • JNJ NISSELBAUM
    J NISSELBAUM
  • RGRB GOLBEY
    RB GOLBEY
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  • 1 January 1983
    • journal article
    • research article
    • Vol. 43  (7) , 3403-3407
    • PMID:6850645
Abstract
A majority of patients with metastatic testicular cancer achieve a complete remission as a result of current treatment programs. However, patients who fail to achieve a complete remission have a very poor prognosis, and nearly all die of their disease. A multivariate logistic regression analysis of several clinical variables associated with prognosis was performed using data from 171 patients treated for metastatic testicular cancer between Sept. 1975 and Feb. 1981. A mathematical model was identified which correctly predicted 94% of complete remissions and 83% of all outcomes. The variables achieving statistical significance were the logarithm of the serum values of lactate dehydrogenase (P < 0.001) and human chorionic gonadotropin (P < 0.001) and the total number of sites of metastasis (P < 0.001). The model was tested against 49 other patients with metastatic testicular cancer and it correctly predicted 86% of complete remissions and 84% of all outcomes. In a highly curable disease such as testicular cancer, mathematical modeling may enable the clinical investigator to anticipate those patients who are least likely to do well. Alternate treatment strategies would be appropriate for such patients.

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