Evidence map›Paper›PMID 40510753›Full record

ArticleFrontiers in parasitology2025

RDT performance through high-throughput bead-based antigen detection during malaria school survey in Senegal.

Mamadou Alpha Diallo, Ibrahima M Ndiaye, Djiby Sow, Mame Cheikh Seck, Khadim Diongue, Mariama Touré, Katerine E Battle, Bassirou Ngom, Mouhamad Sy, Amy Gaye and 13 more

Abstract read
In one paragraph

Article in Frontiers in parasitology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

23 authors.

Mamadou Alpha DialloInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Ibrahima M NdiayeInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Djiby SowInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Mame Cheikh SeckInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Khadim DiongueInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Mariama TouréInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Katerine E BattleInstitute for Disease Modeling, Gates Foundation, Seattle, WA, United States.
Bassirou NgomInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Mouhamad SyInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Amy GayeInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Yaye Dié NdiayeInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Mamane Nassirou GarbaInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Aida Sadikh BadianeInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Aita SeneInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Medoune NdiopNational Malaria Control Program (NMCP), Dakar, Senegal.
Jules François GomisInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Sarah K VolkmanDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Doudou SeneNational Malaria Control Program (NMCP), Dakar, Senegal.
Bronwyn L MacInnisInfectious Disease and Microbiome Program, The Broad Institute, Cambridge, MA, United States.
Ibrahima DialloNational Malaria Control Program (NMCP), Dakar, Senegal.
Mouhamadou NdiayeInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.
Dyann F WirthDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Daouda NdiayeInternational Research and Training Center in Applied Genomic and Health Surveillance (CIGASS), Cheikh Anta Diop University, Dakar, Senegal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rapid Diagnostic Tests (RDTs) remain the frontline tool for malaria diagnosis, but their performance in detecting low-density infections is variable and poorly characterized at the population level. Objective: This study aimed to evaluate the diagnostic performance of HRP2-based RDTs by integrating high-throughput bead-based HRP2 quantification into school-based malaria surveys. Methods: A cross-sectional study was conducted in three Senegalese districts (Diourbel, Tambacounda, and Kédougou), enrolling 3,748 school-aged children. All participants were tested using RDTs, and dried blood spots were analyzed with a multiplex bead-based HRP2 assay. A Gaussian mixture model was used to classify HRP2 positivity, and logistic regression assessed the relationship between HRP2 concentration and RDT outcome. Results: The overall RDT positivity rate was 7.2%, with marked heterogeneity across districts (Diourbel: 3.0%, Kédougou: 15.9%, Tambacounda: 7.6%). HRP2 concentration was the strongest predictor of RDT positivity (aOR: 14.55 per log Conclusion: RDTs remain a useful surveillance tool, particularly in moderate- to high-transmission settings. However, reduced sensitivity at lower antigen concentrations in hypo-endemic areas highlights the value of complementary high-sensitivity assays for elimination-focused strategies. Future research should explore the application of these integrated diagnostic approaches in regions without seasonal malaria chemoprophylaxis intervention.

Indexed as

high-throughput bead-based antigen detectionmalaria surveillancerapid diagnostic tests (RDTs)school-based surveysSenegal

Identifiers

PMID40510753
PMCPMC12159022

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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.