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Impact of patient educational level on treatment for patients with prostate cancer: data from CaPSURE.

机译:患者教育水平对前列腺癌患者治疗的影响:CaPSURE数据。

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OBJECTIVES: To examine the effect of a patient's educational level on treatment selection for patients with newly diagnosed prostate cancer. A patient's educational level may impact a patient's understanding and perception of the risks and benefits of the treatment options for prostate cancer. METHODS: We examined 3484 patients in CaPSURE with prostate cancer between 1992 and 2001. Chi-square and multinomial logistic regression analyses were performed to determine the role of education level in primary treatment received relative to other pretreatment predictors (age, race, insurance status, prostate cancer risk, comorbidity). Prostate cancer risk stratification was determined by serum prostate-specific antigen level and tumor stage and grade. RESULTS: The mean patient age was 67.7 +/- 8.3 years, and the mean prostate-specific antigen level was 13.0 +/- 18.7 ng/mL. Of the 3484 patients, 16.7% had less than a high school education, 27.0% had completed high school or technical school, 19.5% had had some college, 18.0% had graduated from college, and 18.6% had had some graduate education. In bivariate analysis, the factors predictive of treatment selection were patient age, race, education, insurance status, risk group, and patient comorbidity (all P <0.001). In multinomial regression analysis, the factors predicting treatment received were age, race, cancer risk group, and comorbidity. For patients older than 75 years, those with a higher education level received more aggressive treatment (radiotherapy versus hormonal therapy) than did those with less education. CONCLUSIONS: Patient age, race, cancer risk group, comorbidity, and, for men older than 75 years, education level are the factors predictive of the primary treatment received by men with newly diagnosed prostate cancer.
机译:目的:检查患者的教育水平对新诊断的前列腺癌患者的治疗选择的影响。患者的教育水平可能会影响患者对前列腺癌治疗选择的风险和益处的理解和认识。方法:我们调查了1992年至2001年间3484例CaPSURE前列腺癌患者。进行卡方检验和多项式Lo​​gistic回归分析,以确定相对于其他治疗前预测指标(年龄,种族,保险状况,前列腺癌的风险,合并症)。前列腺癌的风险分层取决于血清前列腺特异性抗原水平和肿瘤的分期和等级。结果:平均患者年龄为67.7 +/- 8.3岁,平均前列腺特异性抗原水平为13.0 +/- 18.7 ng / mL。在3484名患者中,未接受高中教育的占16.7%,完成高中或技术学校的占27.0%,具有大学学历的占19.5%,大学毕业的占18.0%,具有研究生学历的占18.6%。在双变量分析中,预测治疗选择的因素是患者年龄,种族,教育程度,保险状况,风险组和患者合并症(所有P <0.001)。在多项回归分析中,预测接受治疗的因素是年龄,种族,癌症风险组和合并症。对于75岁以上的患者,受教育程度较高的患者比受教育程度较低的患者接受更积极的治疗(放射疗法与激素疗法)。结论:患者年龄,种族,癌症风险人群,合并症以及75岁以上男性的受教育程度是预测初诊前列腺癌男性接受主要治疗的因素。

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