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  • 1
    ISSN: 1442-2042
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Background: The clinical significance of pretreatment serum prostate-specific antigen (PSA) values was studied to determine the ability to predict clinical stage and prognosis using a relatively large number of patients with prostate cancer. Methods: Serum PSA values at diagnosis were analyzed from 749 patients with newly-diagnosed prostate cancer and registered in the Tokai Urological Cancer Registry. Correlations between the PSA value, the clinical stage and prognosis of the patients were evaluated. Results: Serum PSA values at each stage of diagnosis showed positivity (≥ 3.6 ng/mL) in 23% (stage A1) to 91.2% (stage D2) of patients, and it was possible to obtain statistical differences between the stages, even between A1 and A2. Based on a cumulative study of PSA distribution, stages greater than A2 could be diagnosed using a cut-off of 7.2 ng/mL, with a 99.2% positive predictive value (PPV), and a 16.2% negative predictive value (NPV). At a PSA level of 1 0.8 ng/mL, stages greater than B2 could be predicted with a PPV of 95.3% but an NPV of 40.3%. Pretreatment PSA values were a significant prognostic indicator in stage D2 patients using 100 to 150ng/mL as the cut-off values. These differences were primarily found in the poorly differentiated group, which showed a statistical difference using cut-off PSA values from 75 to 150 ng/mL. Conclusions: Serum PSA levels from a large number of patients can be used to predict the stage and prognosis of prostate cancer patients.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    International journal of urology 4 (1997), S. 0 
    ISSN: 1442-2042
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Background We performed a multivariate analysis of clinical variables in 320 patients with renal cell carcinoma to identify important prognostic factors for long-term survival. Methods We retrospectively reviewed the medical records of 320 patients who presented with renal cell carcinoma. Survival curves were calculated by the Kaplan-Meier method and statistical differences were determined by the log-rank test. Significant prognostic factors were evaluated by Cox's multivariate proportional hazard model. Results The median follow-up period was 29 months. The overall survival rates at 1, 5, and 10 years were 90.0%, 77.6%, and 69.9%, respectively. Seventeen of the 19 prognostic factors evaluated were shown to be significant by the log-rank test: patient age, sex, performance status, body temperature, erythrocyte sedimentation rate (ESR), levels of hemoglobin, a2-globulin, C-reactive protein, fibrinogen, immunosuppressive acidic protein (IAP), size or involvement of tumor (T classification), regional lymph node involvement (N classification), extent of metastasis (M classification), pathologic grade, tumor cell type, mode of tumor infiltration, and the modality of treatment (curative surgery). Among them, the body temperature, ESR, a2-globulin, fibrinogen, IAP, and mode of tumor infiltration were excluded from multivariate analysis because of missing data. Curative surgery was also excluded because it is a treatment modality and different from the other variables which are clinical or pathologic characteristics. From the remaining 10 variables, multivariate analysis showed that age (P = 0.0389), N classification (P = 0.0289), and M classification (P 〈0.0001) were important and independent prognostic factors for long survival. Conclusion This analysis showed that age, N classification, and M classification were the most important factors predicting long-term survival of patients with renal cell carcinoma.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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