Wong Doo Nicole, White Victoria M, Martin Kara, Bassett Julie K, Prince H Miles, Harrison Simon J, Jefford Michael, Winship Ingrid, Millar Jeremy L, Milne Roger L, Seymour John F, Giles Graham G
Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia.
Concord Repatriation General Hospital, Sydney Medical School, University of Sydney, Sydney, NSW 2139, Australia.
Cancers (Basel). 2019 Jul 2;11(7):928. doi: 10.3390/cancers11070928.
Diffuse large B cell lymphoma (DLBCL) is an aggressive form of non-Hodgkin lymphoma for which a cure is usually the therapeutic goal of optimal treatment. Using a large population-based cohort we sought to examine the factors associated with optimal DLBCL treatment and survival.
DLBCL cases were identified through the population-based Victorian Cancer Registry, capturing new diagnoses for two time periods: 2008-2009 and 2012-2013. Treatment was pre-emptively classified as 'optimal' or 'suboptimal', according to compliance with current treatment guidelines. Univariable and multivariable logistic regression models were fitted to determine factors associated with treatment and survival.
Altogether, 1442 DLBCL cases were included. Based on multivariable analysis, delivery of optimal treatment was less likely for those aged ≥80 years (p < 0.001), women (p = 0.012), those with medical comorbidity (p < 0.001), those treated in a non-metropolitan hospital (p = 0.02) and those who were ex-smokers (p = 0.02). Delivery of optimal treatment increased between 2008-2009 and the 2012-2013 (from 60% to 79%, p < 0.001). Delivery of optimal treatment was independently associated with a lower risk of death (hazard ratio (HR) = 0.60 (95% confidence interval (CI) 0.45-0.81), p = 0.001).
Delivery of optimal treatment for DLBCL is associated with hospital location and category, highlighting possible demographic variation in treatment patterns. Together with an increase in the proportion of patients receiving optimal treatment in the more recent time period, this suggests that treatment decisions in DLBCL may be subject to non-clinical influences, which may have implications when evaluating equity of treatment access. The positive association with survival emphasizes the importance of delivering optimal treatment in DLBCL.
弥漫性大B细胞淋巴瘤(DLBCL)是一种侵袭性非霍奇金淋巴瘤,通常将治愈作为最佳治疗的目标。我们利用一个基于人群的大型队列研究,来探究与DLBCL最佳治疗及生存相关的因素。
通过基于人群的维多利亚癌症登记处识别DLBCL病例,记录两个时间段(2008 - 2009年和2012 - 2013年)的新诊断病例。根据是否符合当前治疗指南,将治疗预先分类为“最佳”或“次优”。采用单变量和多变量逻辑回归模型来确定与治疗和生存相关的因素。
共纳入1442例DLBCL病例。多变量分析显示,年龄≥80岁者(p < 0.001)、女性(p = 0.012)、有合并症者(p < 0.001)、在非大城市医院接受治疗者(p = 0.02)以及既往吸烟者(p = 0.02)接受最佳治疗的可能性较小。2008 - 2009年至2012 - 2013年期间,最佳治疗的实施率有所提高(从60%升至79%,p < 0.001)。接受最佳治疗与较低的死亡风险独立相关(风险比(HR)= 0.60(95%置信区间(CI)0.45 - (此处原文有误,应为0.81)0.81),p = 0.001)。
DLBCL最佳治疗的实施与医院位置和类别相关,凸显了治疗模式中可能存在的人口统计学差异。近期接受最佳治疗患者比例的增加表明,DLBCL的治疗决策可能受到非临床因素的影响,这在评估治疗可及性的公平性时可能具有重要意义。与生存的正相关关系强调了在DLBCL中实施最佳治疗的重要性。