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利用肿瘤登记数据了解肾细胞癌的治疗脱节与死亡率趋势

Understanding Treatment Disconnect and Mortality Trends in Renal Cell Carcinoma Using Tumor Registry Data.

作者信息

Smaldone Marc C, Egleston Brian, Hollingsworth John M, Hollenbeck Brent K, Miller David C, Morgan Todd M, Kim Simon P, Malhotra Aseem, Handorf Elizabeth, Wong Yu-Ning, Uzzo Robert G, Kutikov Alexander

机构信息

*Division of Urologic Oncology †Department of Biostatistics and Bioinformatics, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA ‡Department of Urology, Michigan University, Ann Arbor, MI §Department of Urology, Yale University, New Haven, CT ∥Division of Medical Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA.

出版信息

Med Care. 2017 Apr;55(4):398-404. doi: 10.1097/MLR.0000000000000657.

Abstract

BACKGROUND AND OBJECTIVES

The paradoxical rise in overall and cancer-specific mortality despite increased detection and treatment of renal cell carcinoma (RCC) is termed "treatment disconnect." We reassess this phenomenon by evaluating impact of missing data and rising incidence on mortality trends.

RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using Surveillance, Epidemiology, and End Results data, we identified patients with RCC diagnosis from 1973 to 2011. We estimated mortality rates by tumor size after accounting for lags from diagnosis to death using multiple imputations for missing data from 1983. Mortality rates were estimated irrespective of tumor size after adjustment for prior cumulative incidence using ridge regression.

RESULTS

A total of 78,891 patients met inclusion criteria. Of 70,212 patients diagnosed since 1983, 10.4% had missing data. Significant attenuation in cancer-specific mortality was noted from 1983 to 2011 when comparing observed with imputed rates: Δobs0.05 versus Δimp0.10 (P=0.001, <2 cm tumors); Δobs0.29 versus Δimp0.18 (P=0.005, 2-4 cm tumors); Δobs0.46 versus Δimp-0.20 (P<0.001, 4-7 cm tumors); Δobs0.93 versus Δimp-0.15 (P<0.001, >7 cm tumors). Holding incidence of RCC constant to 2011 rates, temporal increase in overall mortality for all patients was attenuated (P<0.001) when comparing observed estimates (3.9-6.8) with 2011 adjusted estimates (5.9-7.1), suggesting that rapidly rising incidence may influence reported overall mortality trends. These findings were supported by assessment of mortality to incidence ratio trends.

CONCLUSIONS

Missing data and rising incidence may contribute substantially to the "treatment disconnect" phenomenon when examining mortality rates in RCC using tumor registry data. Caution is advised when basing clinical and policy decisions on these data.

摘要

背景与目的

尽管肾细胞癌(RCC)的检测与治疗有所增加,但总体死亡率和癌症特异性死亡率却出现反常上升,这种现象被称为“治疗脱节”。我们通过评估缺失数据和发病率上升对死亡率趋势的影响来重新审视这一现象。

研究设计、研究对象与测量方法:利用监测、流行病学和最终结果数据,我们确定了1973年至2011年期间被诊断为RCC的患者。在考虑从诊断到死亡的滞后时间后,我们使用多重填补法处理1983年以来的缺失数据,按肿瘤大小估计死亡率。在使用岭回归对先前累积发病率进行调整后,不考虑肿瘤大小估计死亡率。

结果

共有78,891名患者符合纳入标准。在1983年以后诊断的70,212名患者中,10.4%有缺失数据。在比较观察到的和填补后的死亡率时,1983年至2011年期间癌症特异性死亡率有显著下降:对于肿瘤<2 cm的患者,观察到的下降幅度为0.05,填补后的下降幅度为0.10(P = 0.001);对于肿瘤2 - 4 cm的患者,观察到的下降幅度为0.29,填补后的下降幅度为0.18(P = 0.005);对于肿瘤4 - 7 cm的患者,观察到的下降幅度为0.46,填补后的下降幅度为 - 0.20(P < 0.001);对于肿瘤>7 cm的患者,观察到的下降幅度为0.93,填补后的下降幅度为 - 0.15(P < 0.001)。将RCC发病率保持在2011年的水平不变,在比较观察到的估计值(3.9 - 6.8)和2011年调整后的估计值(5.9 - 7.1)时,所有患者的总体死亡率随时间的增加有所减弱(P < 0.001),这表明发病率的快速上升可能会影响报告的总体死亡率趋势。死亡率与发病率比值趋势的评估支持了这些发现。

结论

在使用肿瘤登记数据检查RCC死亡率时,缺失数据和发病率上升可能在很大程度上导致了“治疗脱节”现象。在基于这些数据做出临床和政策决策时应谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f053/5352513/a1dce56ccb0c/nihms816161f1.jpg

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Cancer statistics, 2016.癌症统计数据,2016 年。
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