Test accuracy of loop-mediated isothermal amplification for schistosomiasis in low endemicity areas: a systematic review and meta-analysis.

IF 5.5 1区 医学
Xinjie Zhou, Jiajia Li, Jiayin Qiu, Ting Feng, Chao Lv, Wangping Deng, Robert Bergquist, Jing Xu, Shizhu Li, Zhiqiang Qin
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引用次数: 0

Abstract

Background: Schistosomiasis, caused by parasitic flatworms of the genus Schistosoma, remains a significant public health challenge in tropical and subtropical regions, affecting over hundreds of millions of people in these areas. Accurate diagnosis is crucial for effective disease control, particularly in low-endemic areas where traditional methods like microscopy are no longer effective. We aimed to evaluate the diagnostic performance of loop-mediated isothermal amplification (LAMP) for Schistosoma infection.

Methods: Adhering to Preferred reporting items for systematic reviews and meta-analyses guidelines, we conducted a comprehensive search on 10 May 2025 across multiple databases including PubMed, Cochrane Library, Latin American and Caribbean Literature on Health Sciences, Embase, China National Knowledge Infrastructure, and Wanfang Data, using keywords such as "schistosom*", "LAMP", and "loop-mediated isothermal amplification". Based on available literature, pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and 95% confidential interval (CI) were calculated using STATA18.0 software. Subgroup analyses and univariable meta-regression were performed to explore the source of heterogeneity. Specifically, subgroup analyses were performed by categorizing into species (S. japonicum, S. mansoni, S. haematobium), sample type (stool, urine, serum, snails), and DNA extraction methods to explore factors influencing test performance.

Results: The study finally included 24 individual studies derived from 14 published articles. The pooled analyses of LAMP data from all included studies resulted in a sensitivity of 0.90 (95% CI: 0.80-0.90), specificity of 0.82 (95% CI: 0.60-0.93), PLR of 4.98 (95% CI: 2.01-12.29), NLR of 0.13 (95% CI: 0.06-0.26) and diagnostic odds ratio of 39 (95% CI: 10-158). The area under the summary receiver operating characteristic curve reached 0.93, indicating excellent diagnostic performance. Subgroup analyses revealed optimal performance for S. japonicum and snail samples with lower heterogeneity (I2 < 50%).

Conclusions: LAMP shows promise as a rapid, sensitive and specific diagnostic tool for schistosomiasis, particularly in resource-limited settings. This technique enables field application, supporting global efforts toward elimination of schistosomiasis by 2030.

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低流行地区血吸虫病环介导等温扩增的检测准确性:系统回顾和荟萃分析。
背景:由血吸虫属寄生扁虫引起的血吸虫病仍然是热带和亚热带地区的一个重大公共卫生挑战,影响到这些地区数亿人。准确的诊断对于有效的疾病控制至关重要,特别是在显微镜等传统方法不再有效的低流行地区。我们旨在评估环介导等温扩增(LAMP)对血吸虫感染的诊断性能。方法:根据系统评价和荟萃分析指南的首选报告项目,我们于2025年5月10日在PubMed、Cochrane Library、Latin American and Caribbean Literature on Health Sciences、Embase、中国国家知识基础设施和万方数据等多个数据库中进行了全面检索,检索关键词为“血吸虫*”、“LAMP”和“环介导等温扩增”。根据现有文献,采用STATA18.0软件计算合并敏感性、特异性、阳性似然比(PLR)、阴性似然比(NLR)和95%置信区间(CI)。采用亚组分析和单变量元回归来探讨异质性的来源。具体而言,通过分类(日本血吸虫、mansoni血吸虫、haematobium血吸虫)、样品类型(粪便、尿液、血清、钉螺)和DNA提取方法进行亚群分析,探讨影响检测性能的因素。结果:该研究最终纳入了来自14篇已发表文章的24项独立研究。对所有纳入研究的LAMP数据进行汇总分析,结果显示敏感性为0.90 (95% CI: 0.80-0.90),特异性为0.82 (95% CI: 0.60-0.93), PLR为4.98 (95% CI: 2.01-12.29), NLR为0.13 (95% CI: 0.06-0.26),诊断优势比为39 (95% CI: 10-158)。患者工作特征曲线下面积达到0.93,诊断效果良好。亚组分析显示,在日本血吸虫和蜗牛样本中表现最佳,异质性较低(2)。结论:LAMP有望成为血吸虫病的快速、敏感和特异性诊断工具,特别是在资源有限的环境中。该技术可用于实地应用,支持到2030年消除血吸虫病的全球努力。
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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty INFECTIOUS DISEASES-
自引率
1.20%
发文量
368
期刊介绍: Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.
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