MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, UK.
Malar J. 2013 Aug 8;12:278. doi: 10.1186/1475-2875-12-278.
Understanding the role of pre-erythrocytic immune responses to Plasmodium falciparum parasites is crucial for understanding the epidemiology of malaria. However, published studies have reported inconsistent results on the association between markers of pre-erythrocytic immunity and protection from malaria.
The design and statistical methods of studies of pre-erythrocytic immunity were reviewed, and factors affecting the likelihood of detecting statistically significant associations were assessed. Treatment re-infection studies were simulated to estimate the effects of study size, transmission intensity, and sampling frequency on the statistical power to detect an association between markers of pre-erythrocytic immunity and protection from infection.
Nine of nineteen studies reviewed reported statistically significant associations between markers of pre-erythrocytic immunity and protection from infection. Studies with large numbers of participants in high-transmission settings, followed longitudinally with active detection of infection and with immune responses analysed as continuous variables, were most likely to detect statistically significant associations. Simulation of treatment re-infection studies highlights that many studies are underpowered to detect statistically significant associations, providing an explanation for the finding that only some studies report significant associations between pre-erythrocytic immune responses and protection from infection.
The findings of the review and model simulations are consistent with the hypothesis that pre-erythrocytic immune responses prevent P. falciparum infections, but that many studies are underpowered to consistently detect this effect.
了解恶性疟原虫红细胞前期免疫反应的作用对于了解疟疾的流行病学至关重要。然而,已发表的研究报告表明,红细胞前期免疫标志物与疟疾保护之间的关联存在不一致的结果。
我们回顾了红细胞前期免疫研究的设计和统计方法,并评估了影响检测统计学显著关联可能性的因素。我们模拟了治疗再感染研究,以估计研究规模、传播强度和采样频率对检测红细胞前期免疫标志物与感染保护之间关联的统计效能的影响。
在 19 项综述研究中,有 9 项报告了红细胞前期免疫标志物与感染保护之间存在统计学显著关联。在高传播环境中,参与者数量众多、进行纵向随访、主动检测感染以及将免疫反应分析为连续变量的研究最有可能检测到统计学显著的关联。治疗再感染研究的模拟结果强调,许多研究的统计能力不足以检测到统计学显著的关联,这解释了为什么只有一些研究报告红细胞前期免疫反应与感染保护之间存在显著关联。
本综述的研究结果和模型模拟结果一致,表明红细胞前期免疫反应可预防恶性疟原虫感染,但许多研究的统计能力不足以持续检测到这种效果。