Department of Radiation Oncology, University of Toronto/Princess Margaret Hospital, 700 University Avenue, Toronto, ON, M5G 2M9, Canada.
Department of Radiation Oncology, University of Toronto/Sunnybrook Odette Cancer Centre, Toronto, ON, Canada.
J Neurooncol. 2018 Aug;139(1):195-203. doi: 10.1007/s11060-018-2860-2. Epub 2018 Jun 4.
To examine the association between trial sponsorship sources, self-reported conflicts of interest (COI), and study and author characteristics in central nervous system (CNS) oncology clinical trials (CT).
MEDLINE search was performed for original CT on "Central Nervous System Neoplasms"[Mesh]. The investigators assessed for relationships between funding source (industry, academic or cooperative, none, not described), COI (presented, none, or not reported), CT, and author characteristics.
From 2010 to 2015, 319 CT were considered eligible. The majority of the studies involved primary gliomas (55.2%) and were Phase II CT (59.2%). Drug therapy was investigated in 83.0% of the CT. The remaining studies investigated surgery or radiotherapy. A minority of papers were published in journals with impact factor (IF) higher than > 10 (16%) or in regions other than North America and Europe (20.4%). Overall, 83.1% of studies disclosed funding sources: 32.6% from industry alone, 33.9% from an academic or cooperative group, and 10.7% from a mixed funding model. COI data was reported by 85.9% of trials, of which 56.2% reported no COI and 43.8% reported a related COI. Significant predictors for sponsorship (industry and/or academia) on univariate analysis were study design, type of intervention, journal impact factor, study conclusion, transparency of COI and presence of COI. On multivariate analysis, type of intervention, (P < 0.001), journal impact factor (IF) (P = 0.003), presence of COI (P < 0.001) and study conclusion (P = 0.003) remained significant predictors of sponsorship. For predicting COI, significant variables on univariate analysis were disease type, type of intervention, journal IF, funding source, and intervention arm being related to sponsor. On multivariate analysis, disease type (P = 0.003), journal IF (P < 0.001), type of intervention (P = 0.001), and funding source (P = 0.008) remained significant.
The majority of CNS CT reported some external funding sources and non-related COI. We identified that drug trials, higher IF, presence of COI, and a neutral or negative study conclusion are associated with external funding. Likewise drug trials, higher IF, and glioma trials are associated with presence of COI.
研究中枢神经系统(CNS)肿瘤临床研究(CT)中试验赞助来源、自我报告的利益冲突(COI)与研究和作者特征之间的关系。
对 MEDLINE 进行中枢神经系统肿瘤[Mesh]的原始 CT 搜索。研究者评估了资金来源(工业、学术或合作、无、未描述)、COI(存在、无或未报告)、CT 和作者特征之间的关系。
2010 年至 2015 年,有 319 项 CT 被认为符合条件。大多数研究涉及原发性脑肿瘤(55.2%)和 II 期 CT(59.2%)。83.0%的 CT 研究了药物治疗。其余研究调查了手术或放射治疗。少数论文发表在影响因子(IF)高于>10 的期刊上(16%)或在北美和欧洲以外的地区(20.4%)。总体而言,83.1%的研究报告了资金来源:32.6%来自工业,33.9%来自学术或合作团体,10.7%来自混合资助模式。85.9%的试验报告了 COI 数据,其中 56.2%报告无 COI,43.8%报告存在相关 COI。单因素分析中赞助(工业和/或学术界)的显著预测因子是研究设计、干预类型、期刊影响因子、研究结论、COI 的透明度和 COI 的存在。多变量分析中,干预类型(P<0.001)、期刊影响因子(IF)(P=0.003)、COI 的存在(P<0.001)和研究结论(P=0.003)仍然是赞助的显著预测因子。对于预测 COI,单因素分析中显著的变量是疾病类型、干预类型、期刊 IF、资金来源和与赞助商相关的干预组。多变量分析中,疾病类型(P=0.003)、期刊 IF(P<0.001)、干预类型(P=0.001)和资金来源(P=0.008)仍然是显著的。
大多数 CNS CT 报告了一些外部资金来源和无相关的 COI。我们发现药物试验、较高的 IF、存在 COI 和中性或负面的研究结论与外部资金有关。同样,药物试验、较高的 IF 和胶质瘤试验与 COI 的存在有关。