Evidence map›Paper›PMID 23835034›Full record

ArticleJournal of virological methods2013

Use of cross-reactive serological assays for detecting novel pathogens in wildlife: assessing an appropriate cutoff for henipavirus assays in African bats.

Alison J Peel, Trevelyan J McKinley, Kate S Baker, Jennifer A Barr, Gary Crameri, David T S Hayman, Yan-Ru Feng, Christopher C Broder, Lin-Fa Wang, Andrew A Cunningham and 1 more

Abstract read
In one paragraph

Article in Journal of virological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. High Exposure to Livestock Pathogens in Southern Pudu (Animals : an open access journal from MDPI · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Validation of laboratory tests for infectious diseases in wild mammals: review and recommendations.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2020
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Alison J PeelDepartment of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK; Institute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK. Electronic address: alisonpeel@gmail.com.
Trevelyan J McKinley
Kate S Baker
Jennifer A Barr
Gary Crameri
David T S Hayman
Yan-Ru Feng
Christopher C Broder
Lin-Fa Wang
Andrew A Cunningham
James L N Wood

Funding

Vaccines and Therapeutics for Nipah and Hendra virusU01AI077995 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI BRODER, CHRISTOPHER C · 2008 to 2012
$5.5M
Biotechnology and Biological Sciences Research Council BB/I012192/1NIAID NIH HHS U01 AI077995Wellcome Trust
6 · The paper itself

Abstract

Reservoir hosts of novel pathogens are often identified or suspected as such on the basis of serological assay results, prior to the isolation of the pathogen itself. Serological assays might therefore be used outside of their original, validated scope in order to infer seroprevalences in reservoir host populations, until such time that specific diagnostic assays can be developed. This is particularly the case in wildlife disease research. The absence of positive and negative control samples and gold standard diagnostic assays presents challenges in determining an appropriate threshold, or 'cutoff', for the assay that enables differentiation between seronegative and seropositive individuals. Here, multiple methods were explored to determine an appropriate cutoff for a multiplexed microsphere assay that is used to detect henipavirus antibody binding in fruit bat plasma. These methods included calculating multiples of 'negative' control assay values, receiver operating characteristic curve analyses, and Bayesian mixture models to assess the distribution of assay outputs for classifying seropositive and seronegative individuals within different age classes. As for any diagnostic assay, the most appropriate cutoff determination method and value selected must be made according to the aims of the study. This study is presented as an example for others where reference samples, and assays that have been characterised previously, are absent.

Indexed as

AnimalsAntibodies, ViralChiropteraFemaleHenipavirusHenipavirus InfectionsMaleMicrospheresSeroepidemiologic StudiesSerologic TestsAntibodies, ViralEidolon helvumEmerging diseasesHendra virusHeVMarkov chain Monte CarloMCMCmedian fluorescence intensityMFIMicrosphere binding assayMultiplexNipah virusNiVreceiver operating characteristicROCSerology

Identifiers

PMID23835034
PMCPMC8796701

What OpenQuestion holds

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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.