Evidence map›Paper›PMID 34181665›Full record

ReviewPLoS neglected tropical diseases2021

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

YuYen Chan, Kimberly Fornace, Lindsey Wu, Benjamin F Arnold, Jeffrey W Priest, Diana L Martin, Michelle A Chang, Jackie Cook, Gillian Stresman, Chris Drakeley

Open access · goldAbstract readReview
In one paragraph

Review in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 48 citations in OpenAlex.

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  8. Integrated serosurveillance of multiple communicable diseases in the hinterland of Guyana.Revista panamericana de salud publica = Pan American journal of public health · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

YuYen ChanDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-0499-5602
Kimberly FornaceDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-5484-241X
Lindsey WuDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-6552-3716
Benjamin F ArnoldFrancis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America.ORCID 0000-0001-6105-7295
Jeffrey W PriestDivision of Foodborne, Waterborne, and Environmental Diseases, United States Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0001-9701-0990
Diana L MartinDivision of Parasitic Diseases and Malaria, United States Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Michelle A ChangDivision of Parasitic Diseases and Malaria, United States Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Jackie CookMRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Gillian StresmanDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-6897-5459
Chris DrakeleyDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0003-4863-075X
London School of Hygiene & Tropical Medicine · GBCenters for Disease Control and Prevention · USUniversity of California, San Francisco · US

Funding

Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundSerological 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

findingsA 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.

Indexed as

Seroepidemiologic StudiesCommunicable DiseasesHumansSerologic TestsTropical MedicineVaccine-Preventable Diseases

Identifiers

PMID34181665
PMCPMC8270565
OpenAlexW3177089547

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.