Evidence map›Paper›PMID 35878125›Full record

ArticleTropical medicine and infectious disease2022

Bayesian Network Analysis of Lymphatic Filariasis Serology from Myanmar Shows Benefit of Adding Antibody Testing to Post-MDA Surveillance.

Benjamin F R Dickson, Jesse J R Masson, Helen J Mayfield, Khin Saw Aye, Kyi May Htwe, Maureen Roineau, Athena Andreosso, Stephanie Ryan, Luke Becker, Janet Douglass and 1 more

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Shrinking the lymphatic filariasis map of Zimbabwe: Reassessing the population requiring treatment through confirmatory mapping.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Article
  4. Article
  5. Anti-filarial antibodies are sensitive indicators of lymphatic filariasis transmission and enable identification of high-risk populations and hotspots.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article
  6. Article
  7. Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Article
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

11 authors at 3 institutions in 2 countries.

Benjamin F R DicksonCollege of Medicine and Dentistry, James Cook University, Cairns, QLD 4870, Australia.ORCID 0000-0003-0821-8920
Jesse J R MassonCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870, Australia.
Helen J MayfieldSchool of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0003-3462-4324
Khin Saw AyeDepartment of Medical Research, Ministry of Health and Sports, Yangon 11191, Myanmar.
Kyi May HtweDepartment of Medical Research, Ministry of Health and Sports, Yangon 11191, Myanmar.
Maureen RoineauCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870, Australia.
Athena AndreossoCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870, Australia.ORCID 0000-0002-5441-8352
Stephanie RyanCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870, Australia.
Luke BeckerCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870, Australia.
Janet DouglassCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870, Australia.ORCID 0000-0002-3097-3132
Patricia M GravesCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870, Australia.ORCID 0000-0002-5215-3901
James Cook University · AUMinistry of Health and Sports · MMThe University of Queensland · AU

Funding

Australian Institute of International AffairsGlaxoSmithKlineJames Cook UniversityThe Royal College of Pathologists of Australasia
6 · The paper itself

Abstract

The elimination of lymphatic filariasis (LF) is achieved through repeated mass drug administration (MDA) of anti-filarial medications, which interrupts transmission and prevents new infections. Accurate transmission assessments are critical to deciding when to stop MDA. Current methods for evaluating transmission may be insufficiently sensitive, resulting in post-MDA resurgence. We, therefore, evaluated potential diagnostic testing scenarios for post-MDA surveillance. Data were used from two surveys (a household cluster and a cohort) conducted in an area of Mandalay Region, Myanmar, with ongoing transmission following several rounds of MDA. First, age- and sex-adjusted seroprevalence were estimated for the area using the household survey. Next, three Bayesian networks were built from the combined datasets to compare antigens by immunochromatic testing (ICT) and/or Og4C3 enzyme-linked immunosorbent assay (ELISA) and antibody (Ab) detection methods (Wb123 or Bm14 Ab ELISA). The networks were checked for validity and then used to compare diagnostic testing scenarios. The adjusted prevalence from the household survey for antigen, Wb123 Ab and Bm14 Ab were 4.4% (95% CI 2.6-7.3%), 8.7% (5.96-12.5%) and 20.8% (16.0-26.6%), respectively. For the three networks, the True Skill Statistic and Area Under the Receiver Operating Characteristic Curve for antigen, Wb123 and Bm14 Ab were 0.79, 0.68 and 0.55; and 0.97, 0.92 and 0.80, respectively. In the Bayesian network analysis, a positive case was defined as testing positive to one or more infection markers. A missed result was therefore the probability of a positive case having a negative test result to an alternate marker. The probability of a positive case prior to any testing scenario was 17.4%, 16.8% and 26.6% for antigen, Wb123 Ab and Bm14 Ab, respectively. In the antigen-only testing scenario, the probability of a missed positive LF result was 5.2% for Wb123 and 15.6% for Bm14 Ab. The combination of antigen plus Bm14 Ab testing reduced the probability of missing a positive LF case as measured by Wb123 Ab to 0.88%. The combination of antigen plus Wb123 Ab was less successful and yielded an 11.5% probability of a missed positive result by Bm14 Ab testing. Across scenarios, there was a greater discordance between Bm14 and both antigen and Wb123 Ab in the 1-10 age group compared to older ages. These findings suggest that the addition of Bm14 Ab improves the sensitivity of LF testing for current or past infection. The combination of antigen plus Bm14 Ab should therefore be considered for inclusion in post-MDA surveillance to improve the sensitivity of transmission surveys and prevent the premature cessation of MDA.

Indexed as

antibodyantigenBayesian networkseliminationLFlymphatic filariasisMyanmarserology

Identifiers

PMID35878125
PMCPMC9323698
OpenAlexW4283332927

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.