Bush Jacob T, Wasunna Monique, Alves Fabiana, Alvar Jorge, Olliaro Piero L, Otieno Michael, Sibley Carol Hopkins, Strub Wourgaft Nathalie, Guerin Philippe J
Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom.
Infectious Diseases Data Observatory (IDDO), Centre for Tropical Medicine and Global Health, Oxford, United Kingdom.
PLoS Negl Trop Dis. 2017 Sep 5;11(9):e0005781. doi: 10.1371/journal.pntd.0005781. eCollection 2017 Sep.
There are an estimated 200,000 to 400,000 cases of visceral leishmaniasis (VL) annually. A variety of factors are taken into account when considering the best therapeutic options to cure a patient and reduce the risk of resistance, including geographical area, malnourishment and HIV coinfection. Pooled analyses combine data from many studies to answer specific scientific questions that cannot be answered with individual studies alone. However, the heterogeneity of study design, data collection, and analysis often makes direct comparison difficult. Individual Participant Data (IPD) files can be standardised and analysed, allowing detailed analysis of this merged larger pool, but only a small fraction of systematic reviews and meta-analyses currently employ pooled analysis of IPD. We conducted a systematic literature review to identify published studies and studies reported in clinical trial registries to assess the feasibility of developing a VL data sharing platform to facilitate an IPD-based analysis of clinical trial data. Studies conducted between 1983 to 2015 that reported treatment outcome were eligible.
From the 2,271 documents screened, 145 published VL clinical trials were identified, with data from 26,986 patients. Methodologies varied for diagnosis and treatment outcomes, but overall the volume of data potentially available on different drugs and dose regimens identified hundreds or possibly thousands of patients per arm suitable for IPD pooled meta-analyses.
A VL data sharing platform would provide an opportunity to maximise scientific use of available data to enable assessment of treatment efficacy, contribute to evidence-based clinical management and guide optimal prospective data collection.
据估计,每年有20万至40万例内脏利什曼病(VL)病例。在考虑最佳治疗方案以治愈患者并降低耐药风险时,会考虑多种因素,包括地理区域、营养不良和HIV合并感染。汇总分析将来自许多研究的数据结合起来,以回答单独的个体研究无法回答的特定科学问题。然而,研究设计、数据收集和分析的异质性常常使直接比较变得困难。个体参与者数据(IPD)文件可以进行标准化和分析,从而对这个合并后的更大数据集进行详细分析,但目前只有一小部分系统评价和荟萃分析采用IPD的汇总分析。我们进行了一项系统的文献综述,以识别已发表的研究以及临床试验注册库中报告的研究,以评估开发一个VL数据共享平台以促进基于IPD的临床试验数据分析的可行性。纳入1983年至2015年期间进行的报告治疗结果的研究。
在筛选的2271份文献中,识别出145项已发表的VL临床试验,涉及26986例患者的数据。诊断和治疗结果的方法各不相同,但总体而言,不同药物和剂量方案潜在可用的数据量表明,每个治疗组有数百名甚至可能数千名患者适合进行IPD汇总荟萃分析。
一个VL数据共享平台将提供一个机会,最大限度地科学利用现有数据,以评估治疗效果,为循证临床管理做出贡献,并指导最佳的前瞻性数据收集。