Sociodemographic Predictors of Survival in Differentiated Thyroid Cancer: Results from the SEER Database.

ISRN endocrinology Pub Date : 2012-01-01 Epub Date: 2012-08-16 DOI:10.5402/2012/384707
Lily E Johnston, Hop S Tran Cao, David C Chang, Michael Bouvet
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引用次数: 24

Abstract

Background. Differentiated thyroid carcinoma (DTC) is prognosticated upon a combination of tumor characteristics, such as histology and stage, and patient age. DTC is also notable for having a strong female predominance. Using a nationwide database with long follow-up times, we explored the interplay between tumor biology and patient characteristics in predicting mortality. Methods. The Surveillance, Epidemiology, and End Results (SEER) registry data 1973-2005 was examined for patients with DTC as their only known malignancy. Cox multivariate analyses were used to generate mortality hazard ratios to evaluate the effects of age, gender, ethnicity, and marital status. Results. We identified 55,995 patients with DTC as their only malignancy. Consistent with the existing literature, the tumors are primarily diagnosed in women (77.5%), and predominantly affect Caucasians (78.3%). Female gender had a protective effect resulting in a 37% decrease in mortality. Age at diagnosis predicted mortality over age 40. Black ethnicity was associated with a 51% increase in mortality compared to Caucasians. Conclusion. Multiple demographic factors predict mortality in patients with DTC after adjusting for tumor characteristics, and they appear to have complex interactions. Recognizing the importance of these factors may enable clinicians to better tailor therapy.

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分化型甲状腺癌生存的社会人口学预测因素:来自SEER数据库的结果。
背景。分化型甲状腺癌(DTC)的预后取决于肿瘤特征,如组织学、分期和患者年龄。DTC还以女性占优势而著称。我们利用一个全国范围的数据库,通过长时间的随访,探讨了肿瘤生物学和患者特征在预测死亡率方面的相互作用。方法。监测,流行病学和最终结果(SEER)登记数据1973-2005检查了DTC作为唯一已知恶性肿瘤的患者。采用Cox多变量分析生成死亡率风险比,以评估年龄、性别、种族和婚姻状况的影响。结果。我们确定了55,995例DTC患者的唯一恶性肿瘤。与现有文献一致,该肿瘤主要诊断为女性(77.5%),主要影响白种人(78.3%)。女性具有保护作用,死亡率降低了37%。诊断年龄预测40岁以上的死亡率。与白种人相比,黑人的死亡率增加了51%。结论。多种人口统计学因素在调整肿瘤特征后预测DTC患者的死亡率,并且它们似乎具有复杂的相互作用。认识到这些因素的重要性可以使临床医生更好地定制治疗。
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