Evidence map›Paper›PMID 31961303›Full record

ArticleEmerging infectious diseases2020

Multiplex Mediator Displacement Loop-Mediated Isothermal Amplification for Detection of Treponema pallidum and Haemophilus ducreyi.

Lisa Becherer, Sascha Knauf, Michael Marks, Simone Lueert, Sieghard Frischmann, Nadine Borst, Felix von Stetten, Sibauk Bieb, Yaw Adu-Sarkodie, Kingsley Asiedu and 2 more

Open access · diamondAbstract readEvaluation Study
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  4. Observational
  5. Detection ofApplied and environmental microbiology · 2025
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  7. Article
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  10. Review
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  13. Review
  14. Article
  15. LAMP4yaws:BMJ open · 2022
    Article
  16. 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

12 authors.

Lisa Becherer
Sascha Knauf
Michael Marks
Simone Lueert
Sieghard Frischmann
Nadine Borst
Felix von Stetten
Sibauk Bieb
Yaw Adu-Sarkodie
Kingsley Asiedu
Oriol Mitjà
Mohammed Bakheit

Funding

Wellcome TrustWellcome Trust 102807
6 · The paper itself

Abstract

Yaws, a neglected tropical disease caused by the bacterium Treponema pallidum subspecies pertenue, manifests as ulcerative skin lesions. Nucleic acid amplification tests, like loop-mediated isothermal amplification (LAMP), are versatile tools to distinguish yaws from infections that cause similar skin lesions, primarily Haemophilus ducreyi. We developed a novel molecular test to simultaneously detect T. pallidum and H. ducreyi based on mediator displacement LAMP. We validated the T. pallidum and H. ducreyi LAMP (TPHD-LAMP) by testing 293 clinical samples from patients with yaws-like lesions. Compared with quantitative PCR, the TPHD-LAMP demonstrated high sensitivity and specificity for T. pallidum (84.7% sensitivity, 95.7% specificity) and H. ducreyi (91.6% sensitivity, 84.8% specificity). This novel assay provided rapid molecular confirmation of T. pallidum and H. ducreyi DNA and might be suitable for use at the point of care. TPHD-LAMP could support yaws eradication by improving access to molecular diagnostic tests at the district hospital level.

Indexed as

ChancroidChildFemaleGhanaHaemophilus ducreyiHumansMaleMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPapua New GuineaSensitivity and SpecificityTreponema pallidumYawsbacteriaHaemophilus ducreyiLAMPloop-mediated isothermal amplificationneglected tropical diseasesPCRTreponema pallidumYaws

Identifiers

PMID31961303
PMCPMC6986840
OpenAlexW2999584470

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.