Lee Moon-Sing, Tsai Shiang-Jiun, Lee Ching-Chih, Su Yu-Chieh, Chiou Wen-Yen, Lin Hon-Yi, Hung Shih-Kai
Department of Radiation Oncology, Buddhist Dalin Tzu Chi Hospital, 2, Ming Sheng Road, Dalin, Chiayi, Taiwan.
School of Medicine, Tzu Chi University, Hualien, Taiwan.
Radiat Oncol. 2014 Oct 25;9:234. doi: 10.1186/s13014-014-0234-2.
Increased caseload has been associated with better patient outcomes in many areas of health care, including high-risk surgery and cancer treatment. However, such a positive volume vs. outcome relationship has not yet been validated for cervical cancer brachytherapy. The purpose of this study was to examine the relationship between physician caseload and survival rates in cervical cancer treated with brachytherapy using population-based data.
Between 2005 and 2010, a total of 818 patients were identified using the Taiwan National Health Insurance Research Database. Multivariate analysis using a Cox proportional hazards model and propensity scores was used to assess the relationship between 5-year survival rates and physician caseloads.
As the caseload of individual physicians increased, unadjusted 5-year survival rates increased (P=0.005). Using a Cox proportional hazard model, patients treated by high-volume physicians had better survival rates (P = 0.03), after adjusting for comorbidities, hospital type, and treatment modality. When analyzed by propensity score, the adjusted 5-year survival rate differed significantly between patients treated by high/medium-volume physicians vs. patients treated by low/medium-volume physicians (60% vs. 54%, respectively; P=0.04).
Provider caseload affected survival rates in cervical cancer patients treated with brachytherapy. Both Cox proportional hazard model analysis and propensity scores showed association between high/medium volume physicians and improved survival.
在包括高风险手术和癌症治疗在内的许多医疗领域,病例数量的增加与更好的患者治疗效果相关。然而,这种积极的病例数量与治疗效果之间的关系尚未在宫颈癌近距离放射治疗中得到验证。本研究的目的是使用基于人群的数据,研究宫颈癌近距离放射治疗中医生病例数量与生存率之间的关系。
2005年至2010年期间,使用台湾国民健康保险研究数据库共识别出818例患者。使用Cox比例风险模型和倾向得分进行多变量分析,以评估5年生存率与医生病例数量之间的关系。
随着个体医生病例数量的增加,未经调整的5年生存率有所提高(P=0.005)。使用Cox比例风险模型,在调整合并症、医院类型和治疗方式后,由高病例数量医生治疗的患者生存率更高(P = 0.03)。通过倾向得分分析,高/中病例数量医生治疗的患者与低/中病例数量医生治疗的患者之间的调整后5年生存率存在显著差异(分别为60%和54%;P=0.04)。
医生病例数量影响接受近距离放射治疗的宫颈癌患者的生存率。Cox比例风险模型分析和倾向得分均显示高/中病例数量医生与生存率提高之间存在关联。