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确定血清阳性率——使用多重微球检测分析评估热带病负担时,定义人群血清流行率的方法综述。

Determining seropositivity-A review of approaches to define population seroprevalence when using multiplex bead assays to assess burden of tropical diseases.

机构信息

Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Department of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.

出版信息

PLoS Negl Trop Dis. 2021 Jun 28;15(6):e0009457. doi: 10.1371/journal.pntd.0009457. eCollection 2021 Jun.

Abstract

BACKGROUND

Serological surveys with multiplex bead assays can be used to assess seroprevalence to multiple pathogens simultaneously. However, multiple methods have been used to generate cut-off values for seropositivity and these may lead to inconsistent interpretation of results. A literature review was conducted to describe the methods used to determine cut-off values for data generated by multiplex bead assays.

METHODOLOGY/PRINCIPAL FINDINGS: A search was conducted in PubMed that included articles published from January 2010 to January 2020, and 308 relevant articles were identified that included the terms "serology", "cut-offs", and "multiplex bead assays". After application of exclusion of articles not relevant to neglected tropical diseases (NTD), vaccine preventable diseases (VPD), or malaria, 55 articles were examined based on their relevance to NTD or VPD. The most frequently applied approaches to determine seropositivity included the use of presumed unexposed populations, mixture models, receiver operating curves (ROC), and international standards. Other methods included the use of quantiles, pre-exposed endemic cohorts, and visual inflection points.

CONCLUSIONS/SIGNIFICANCE: For disease control programmes, seropositivity is a practical and easily interpretable health metric but determining appropriate cut-offs for positivity can be challenging. Considerations for optimal cut-off approaches should include factors such as methods recommended by previous research, transmission dynamics, and the immunological backgrounds of the population. In the absence of international standards for estimating seropositivity in a population, the use of consistent methods that align with individual disease epidemiological data will improve comparability between settings and enable the assessment of changes over time.

摘要

背景

采用多重微珠检测的血清学调查可同时评估多种病原体的血清流行率。然而,已有多种方法用于确定血清阳性的截断值,这可能导致结果解释不一致。本文对用于确定多重微珠检测产生的数据截断值的方法进行了文献综述。

方法/主要发现:在 PubMed 中进行了检索,包括 2010 年 1 月至 2020 年 1 月发表的文章,共确定了 308 篇相关文章,其中包含“血清学”、“截断值”和“多重微珠检测”等术语。在排除与被忽视的热带病(NTD)、疫苗可预防疾病(VPD)或疟疾无关的文章后,根据与 NTD 或 VPD 的相关性,对 55 篇文章进行了检查。确定血清阳性的最常用方法包括使用假定未暴露人群、混合模型、接收者操作曲线(ROC)和国际标准。其他方法包括使用分位数、预先暴露的地方性队列和视觉拐点。

结论/意义:对于疾病控制规划,血清阳性是一种实用且易于解释的健康指标,但确定合适的阳性截断值可能具有挑战性。最佳截断值方法的考虑因素应包括先前研究推荐的方法、传播动态以及人群的免疫背景等因素。在缺乏用于估计人群中血清阳性率的国际标准的情况下,使用与个体疾病流行病学数据一致的一致方法将提高不同环境之间的可比性,并能够评估随时间的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c116/8270565/aad3a5dcf541/pntd.0009457.g001.jpg

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