Bristow Robert E, Chang Jenny, Ziogas Argyrios, Gillen Daniel L, Bai Lu, Vieira Veronica M
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Irvine, Medical Center, Orange, CA; Chao Family Comprehensive Cancer Center, University of California, Irvine, Medical Center, Orange, CA.
Department of Epidemiology, University of California, Irvine, School of Medicine, Irvine, CA.
Am J Obstet Gynecol. 2015 Jul;213(1):43.e1-43.e8. doi: 10.1016/j.ajog.2015.01.045. Epub 2015 Jan 31.
We sought to determine the impact of geographic location on advanced-stage ovarian cancer mortality in relation to adherence to National Comprehensive Cancer Network (NCCN) treatment guidelines and hospital case volume.
This was a retrospective observational cohort study of patients diagnosed with stage IIIC/IV epithelial ovarian cancer (Jan. 1, 1996, through Dec. 31, 2006) identified from the California Cancer Registry. Generalized additive models were created to assess the effect of spatial distributions of geographic location, demographic characteristics, disease-related variables, adherence to NCCN guidelines, and hospital case volume, with simultaneous smoothing of geographic location and adjustment for confounding variables.
A total of 11,765 patients were identified. Twelve of the 378 hospitals (3.2%) were high-volume hospitals (HVH) (≥20 cases/y) and cared for 2112 patients (17.9%). For all patients, the median distance to an HVH was 22.7 km/14.1 miles and 80% were located within 79.6 km/49.5 miles of an HVH. Overall, 45.4% of patients were treated according to NCCN guidelines. The global test for location revealed that geographic position within the state was significantly correlated with ovarian cancer mortality after adjusting for other variables (P < .001). Distance to receive care ≥32 km/20 miles was protective against mortality (hazard ratio [HR], 0.86; 95% confidence interval [CI], 0.79-0.93), while distance from an HVH ≥80 km/50 miles was associated with an increased risk of death (HR, 1.13; 95% CI, 1.03-1.23). The effects of geographic predictors were attenuated when nonadherence to NCCN guidelines (HR, 1.25; 95% CI, 1.18-1.32) and care at an HVH (HR, 0.87; 95% CI, 0.81-0.93) were introduced into the model.
Geographic location is a significant predictor of advanced-stage ovarian cancer mortality and the effect is primarily related to the likelihood of receiving NCCN guideline adherent care and treatment at an HVH.
我们试图确定地理位置对晚期卵巢癌死亡率的影响,这与遵循美国国立综合癌症网络(NCCN)治疗指南及医院病例数量有关。
这是一项回顾性观察队列研究,研究对象为1996年1月1日至2006年12月31日期间从加利福尼亚癌症登记处确诊为IIIC/IV期上皮性卵巢癌的患者。创建广义相加模型以评估地理位置、人口统计学特征、疾病相关变量、遵循NCCN指南情况及医院病例数量的空间分布的影响,同时对地理位置进行平滑处理并对混杂变量进行校正。
共识别出11765例患者。378家医院中有12家(3.2%)为高病例量医院(HVH)(每年≥20例),收治了2112例患者(17.9%)。对于所有患者,到HVH的中位距离为22.7千米/14.1英里,80%的患者位于距离HVH 79.6千米/49.5英里范围内。总体而言,45.4%的患者按照NCCN指南接受治疗。位置的全局检验显示,在调整其他变量后,该州内的地理位置与卵巢癌死亡率显著相关(P < 0.001)。接受治疗的距离≥32千米/20英里可降低死亡风险(风险比[HR],0.86;95%置信区间[CI],0.79 - 0.93),而距离HVH≥80千米/50英里则与死亡风险增加相关(HR,1.13;95% CI,1.03 - 1.23)。当将不遵循NCCN指南(HR,1.25;95% CI,1.18 - 1.32)和在HVH接受治疗(HR,0.87;95% CI,0.81 - 0.93)引入模型时,地理预测因素的影响减弱。
地理位置是晚期卵巢癌死亡率的重要预测因素,其影响主要与在HVH接受遵循NCCN指南的护理和治疗的可能性有关。