Evidence map›Paper›PMID 36048897›Full record

ArticlePLoS neglected tropical diseases2022

Diagnostics to support the eradication of yaws-Development of two target product profiles.

Noah Fongwen, Becca L Handley, Diana L Martin, Camila Beiras, Louise Dyson, Michael Frimpong, Oriol Mitja, Kingsley Asiedu, Michael Marks

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Noah FongwenDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom.
Becca L HandleyDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom.
Diana L MartinDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta United States of America.
Camila BeirasFight Aids and Infectious Diseases Foundation, Badalona, Spain.
Louise DysonThe Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
Michael FrimpongKumasi Centre for Collaborative Research, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana.
Oriol MitjaFight Aids and Infectious Diseases Foundation, Badalona, Spain.
Kingsley AsieduDepartment for the Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland.
Michael MarksDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom.ORCID 0000-0002-7585-4743

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundYaws is targeted for eradication by 2030, using a strategy based on mass drug administration (MDA) with azithromycin. New diagnostics are needed to aid eradication. Serology is currently the mainstay for yaws diagnosis; however, inaccuracies associated with current serological tests makes it difficult to fully assess the need for and impact of eradication campaigns using these tools. Under the recommendation of the WHO Diagnostic Technical Advisory Group (DTAG) for Neglected Tropical Diseases(NTDs), a working group was assembled and tasked with agreeing on priority use cases for developing target product profiles (TPPs) for new diagnostics tools. METHODOLOGY AND PRINCIPAL

findingsThe working group convened three times and established two use cases: identifying a single case of yaws and detecting azithromycin resistance. One subgroup assessed the current diagnostic landscape for yaws and a second subgroup determined the test requirements for both use cases. Draft TPPs were sent out for input from stakeholders and experts. Both TPPs considered the following parameters: product use, design, performance, configuration, cost, access and equity. To identify a single case of yaws, the test should be able to detect an analyte which confirms an active infection with at least 95% sensitivity and 99.9% specificity. The high specificity was deemed important to avoid a high false positive rate which could result in unnecessary continuation or initiation of MDA campaigns. If used in settings where the number of suspected cases is low, further testing could be considered to compensate for imperfect sensitivity and to improve specificity. The test to detect azithromycin resistance should be able to detect known genetic resistance mutations with a minimum sensitivity and specificity of 95%, with the caveat that all patients with suspected treatment failure should be treated as having resistant yaws and offered alternative treatment.

conclusionsThe TPPs developed will provide test developers with guidance to ensure that novel diagnostic tests meet identified public health needs.

Indexed as

YawsAnti-Bacterial AgentsAzithromycinHumansMass Drug AdministrationNeglected DiseasesTreponema pallidumAnti-Bacterial AgentsAzithromycin

Identifiers

PMID36048897
PMCPMC9473620

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