Evidence map›Paper›PMID 41456006›Full record

ArticleMalaria journal2025

Field evaluation of the miniature direct-on-blood PCR nucleic acid lateral flow immunoassay (mini-dbPCR-NALFIA) for the detection of Plasmodium falciparum in high seasonal malaria transmission setting in Burkina Faso.

Francois Kiemde, Toussaint Rouamba, Diane Y Some, Berenger Kabore, Daniel Valia, H Magloire Natama, Antonia W Bere, Petra F Mens, Halidou Tinto, Henk D F H Schallig

Abstract readEvaluation Study
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

10 authors.

Francois KiemdeInstitut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso. kiemdefrancois@yahoo.fr.
Toussaint RouambaInstitut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso.
Diane Y SomeInstitut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso.
Berenger KaboreInstitut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso.
Daniel ValiaInstitut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso.
H Magloire NatamaInstitut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso.
Antonia W BereInstitut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso.
Petra F MensDepartment of Medical Microbiology and Infection Prevention, Laboratory for Experimental Parasitology, Amsterdam Institute for Immunology and Infectious Diseases, Amsterdam University Medical Centre, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Halidou Tinto *Institut de Recherche en Sciences de la Santé, Clinical Research Unit of Nanoro (IRSS-CRUN), 11 BP 218. Ouaga CMS 11, Nanoro, Burkina Faso.
Henk D F H Schallig *Department of Medical Microbiology and Infection Prevention, Laboratory for Experimental Parasitology, Amsterdam Institute for Immunology and Infectious Diseases, Amsterdam University Medical Centre, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate diagnosis of malaria, caused by Plasmodium falciparum, remains challenging in endemic resource-limited settings. Molecular diagnostics, like PCR, offer a higher sensitivity, but are often impractical at the point-of-care. A relatively simple molecular diagnostic test has been developed to overcome the technological challenges frequently encountered during the implementation of molecular tools. We present here the results of the field evaluation of this novel mini direct-on-blood PCR platform with lateral flow readout (dbPCR-NALFIA), in a rural setting of Burkina Faso.

methodsA phase 3 diagnostic accuracy study was conducted over one year in a high P. falciparum transmission setting in Burkina Faso. Febrile patients of all ages (n = 438) were screened using PfHRP2-based RDT, microscopy, and the investigational dbPCR-NALFIA test. Reference diagnostic test was qPCR targeting the P. falciparum varATS gene. Diagnostic accuracy metrics (sensitivity, specificity, predictive values) and agreement (Cohen's kappa) were calculated for each method.

resultsMalaria prevalence by qPCR was 65.5% (287/438). A total of 99.2% (259/261) of P. falciparum microscopy-positive samples were detected by qPCR, 97.7% (253/259) detected with RDT and 99.6% (258/259) with the investigational dbPCR-NALFIA. Overall, 85.2% (149/177) of microscopy negative samples were also confirmed negative with qPCR. Among these qPCR negative samples, 80.5% (120/149) were concordantly negative by RDT, while 98.0% (146/149) were confirmed negative by dbPCR-NALFIA. Using qPCR as reference, the dbPCR-NALFIA demonstrated a sensitivity of 96.5% and specificity of 98.0%, comparable to RDT sensitivity (95.1%) and microscopy specificity (98.7%), but out-performed RDT specificity (80.8%) and microscopy sensitivity (90.2%). dbPCR-NALFIA detected 67.9% of sub microscopic qPCR-positive samples missed by the microscopy. Agreement with qPCR was the highest for dbPCR-NALFIA (kappa value = 0.90), compared to microscopy (kappa value = 0.80) and RDT (kappa value = 0.71).

conclusionThe dbPCR-NALFIA shows excellent diagnostic performance to detect P. falciparum under field conditions. It addresses key limitations of other diagnostics and could play a vital role in case detection.

Indexed as

Malaria, FalciparumMolecular Diagnostic TechniquesPlasmodium falciparumPolymerase Chain ReactionAdolescentAdultAgedBurkina FasoChildChild, PreschoolDiagnostic Tests, RoutineFemaleHumansImmunoassayInfantMaleDbPCR-NALFIAMalaria diagnosisMicroscopyPfHRP2RDTs

Identifiers

PMID41456006
PMCPMC12853798

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LicenceCC BY-NC-ND
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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.