Evidence map›Paper›PMID 32883286›Full record

ArticleMalaria journal2020

Ultra-sensitive RDT performance and antigen dynamics in a high-transmission Plasmodium falciparum setting in Mali.

Emily N Reichert, Jen C C Hume, Issaka Sagara, Sara A Healy, Mahamadoun H Assadou, Merepen A Guindo, Rebecca Barney, Andy Rashid, Ihn Kyung Yang, Allison Golden and 3 more

Abstract read
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  10. Performance ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2023
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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

13 authors.

Emily N ReichertDiagnostics Program, PATH, Seattle, WA, USA.
Jen C C HumeLaboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Issaka SagaraMalaria Research and Training Center, Mali-National Institute of Allergy and Infectious Diseases International Center for Excellence in Research, University of Science, Techniques and Technologies of Bamako, Bamako, Mali.
Sara A HealyLaboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Mahamadoun H AssadouMalaria Research and Training Center, Mali-National Institute of Allergy and Infectious Diseases International Center for Excellence in Research, University of Science, Techniques and Technologies of Bamako, Bamako, Mali.
Merepen A GuindoMalaria Research and Training Center, Mali-National Institute of Allergy and Infectious Diseases International Center for Excellence in Research, University of Science, Techniques and Technologies of Bamako, Bamako, Mali.
Rebecca BarneyDiagnostics Program, PATH, Seattle, WA, USA.
Andy RashidDiagnostics Program, PATH, Seattle, WA, USA.
Ihn Kyung YangDiagnostics Program, PATH, Seattle, WA, USA.
Allison GoldenDiagnostics Program, PATH, Seattle, WA, USA.
Gonzalo J DomingoDiagnostics Program, PATH, Seattle, WA, USA. gdomingo@path.org.
Patrick E DuffyLaboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Hannah C SlaterDiagnostics Program, PATH, Seattle, WA, USA. hslater@path.org.ORCID http://orcid.org/0000-0003-4291-7899

Funding

Bill and Melinda Gates Foundation OPP1053616Siemens Foundation OPP-00006234
6 · The paper itself

Abstract

backgroundThe recent expansion of tools designed to accurately quantify malaria parasite-produced antigens has enabled us to evaluate the performance of rapid diagnostic tests (RDTs) as a function of the antigens they detect-typically histidine rich protein 2 (HRP2) or lactate dehydrogenase (LDH).

methodsFor this analysis, whole blood specimens from a longitudinal study in Bancoumana, Mali were used to evaluate the performance of the ultra-sensitive HRP2-based Alere™ Malaria Ag P.f RDT (uRDT). The samples were collected as part of a transmission-blocking vaccine trial in a high transmission region for Plasmodium falciparum malaria. Furthermore, antigen dynamics after successful anti-malarial drug treatment were evaluated in these samples using the Q-Plex Human Malaria Array (4-Plex) to quantify antigen concentrations.

resultsThe uRDT had a 50% probability of a positive result at 207 pg/mL HRP2 [95% credible interval (CrI) 160-268]. Individuals with symptomatic infection remained positive by uRDT for a median of 33 days [95% confidence interval (CI) 28-47] post anti-malarial drug treatment. Biphasic exponential decay models accurately captured the population level post-treatment dynamics of both HRP2 and Plasmodium LDH (pLDH), with the latter decaying more rapidly. Motivated by these differences in rates of decay, a novel algorithm that used HRP2:pLDH ratios to predict if an individual had active versus recently cleared P. falciparum infection was developed. The algorithm had 77.5% accuracy in correctly classifying antigen-positive individuals as those with and without active infection.

conclusionsThese results characterize the performance of the ultra-sensitive RDT and demonstrate the potential for emerging antigen-quantifying technologies in the field of malaria diagnostics to be helpful tools in distinguishing between active versus recently cleared malaria infections.

Indexed as

AdultAntigens, ProtozoanDiagnostic Tests, RoutineHumansL-Lactate DehydrogenaseMalaria, FalciparumMaliMiddle AgedPlasmodium falciparumProtozoan ProteinsSensitivity and SpecificityYoung AdultAntigens, ProtozoanHRP-2 antigen, Plasmodium falciparumL-Lactate DehydrogenaseProtozoan ProteinsAntigenemiaHRP2MalariapLDHUltra-sensitive RDT

Identifiers

PMID32883286
PMCPMC7469912

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LicenceCC BY
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Registered trials

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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.