Evidence map›Paper›PMID 42335182›Full record

Trial reportPloS one2026

Improving the field accuracy of a malaria diagnostic algorithm combining sequential interpretation of rapid diagnostic test detecting PfHRP2 and pLDH in febrile children in a seasonal hyperendemic malaria transmission area in Burkina Faso.

Diane Yirgnur Some, Francois Kiemde, Berenger Kabore, Daniel Valia, Toussaint Rouamba, Seydou Sawadogo, Athanase M Some, Hermann Sorgho, Macaire Nana, Yacouba Nombre and 13 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Diane Yirgnur SomeInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.ORCID https://orcid.org/0009-0005-8917-1176
Francois KiemdeInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.ORCID https://orcid.org/0000-0001-8828-5749
Berenger KaboreInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Daniel ValiaInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Toussaint RouambaInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Seydou SawadogoInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Athanase M SomeInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Hermann SorghoInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Macaire NanaHealth District of Nanoro, Ministry of Health, Nanoro, Burkina Faso.
Yacouba NombreNational Malaria Control Program, Ministry of Health, Ouagadougou, Burkina Faso.
Nadine A KoneInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Adelaide CompaoreInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Fadima Yaya BocoumInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Massa Dit Achille BonkoInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Georges SomeInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.
Gautier TougriNational Malaria Control Program, Ministry of Health, Ouagadougou, Burkina Faso.
Sylvie Yeri YoulNational Agency for Primary Healthcare, Ministry of Health, Ouagadougou, Burkina Faso.
Konseibo NoellieNational Agency for Primary Healthcare, Ministry of Health, Ouagadougou, Burkina Faso.
Yeri Esther HienUniversité Joseph Ki-Zerbo Ouaga 1, Unité de Recherche et de Formation en Sciences de la Vie et de la Terre (UFR-SVT), Ouagadougou, Burkina Faso.
Aly SavadogoUniversité Joseph Ki-Zerbo Ouaga 1, Unité de Recherche et de Formation en Sciences de la Vie et de la Terre (UFR-SVT), Ouagadougou, Burkina Faso.
Fla KouetaDepartment of Pediatrics, CHU Yalgado Ouedraogo, Ouagadougou, Burkina Faso.
Henk D F H SchalligDepartment of Medical Microbiology and Infection Prevention, Laboratory for Experimental Parasitology, Amsterdam University Medical Centre, Amsterdam, The Netherlands.
Halidou TintoInstitut de Recherche en Sciences de la Santé - Clinical Research Unit Of Nanoro (IRSS-CRUN), Ouagadougou, Burkina Faso.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the field accuracy of a malaria diagnostic algorithm combining sequential interpretation of two-step malaria RDT detecting PfHRP2 and pLDH with information on previous antimalarial treatments within the past four weeks for the diagnosis of malaria in febrile children under 5 years compared to standard diagnosis using a PfHRP2 only based RDT.

methodsFebrile children aged 6-59 months attending outpatient clinics were randomized to either the control group, which received the standard RDT (PfHRP2 only), or the intervention groups (an e-algorithm or a decisional algorithm), which was subjected to the diagnostic algorithm combining an RDT detecting PfHRP2 and pLDH with information on previous antimalarial treatment. Malaria diagnosis with PfHRP2-based RDT was reported as positive or negative. The sequential interpretation was reported as (i) positive when the pLDH line appeared, regardless of the PfHRP2 results, (ii) negative when both lines did not appear and (iii) undetermined when only the PfHRP2 line appeared, and information on previous antimalarial treatment within the past 4 weeks was used as a decision-support tool to classify active malaria from past infection. Blood samples were also collected for expert microscopy as the gold standard, and for qPCR to further evaluate undeterminate results and potential false-positive RDT outcomes.

resultsIn total 1176 children were included, with 66.7% (784/1176) assigned to the intervention arms and 33.3% (392/1176) to the control arm. In patients assigned to the sequential algorithm, the number of undetermined cases was 12.7% (100/784). Considering microscopy as the gold standard, PfHRP2-based RDT reported a sensitivity of 96.5% and a of specificity 79.1%, with positive and negative predictive values of 78.3% and 96.7%, respectively. For the sequential algorithm, the sensitivity, specificity, positive and negative predictive values of the conclusive-only results (i.e., PfHRP2±/pLDH+ and PfHRP2-/pLDH-) were 97.4%, 98.4%, 98.0% and 97.9%. However, when undetermined result were combined with conclusive results, the sensitivity, specificity, positive and negative predictive values were 89.7%, 96.8%, 95.6% and 92.4% respectively. Among recently antimalarial treated participants in sequential algorithm arm, 59.5% (50/84) were qPCR-positive, compared to 68.7% (11/16) qPCR-positivity in those without recent treatment.

conclusionsThe sequential diagnostic approach improves the diagnosis of malaria in a real world setting, compared to the use of PfHRP2-(only) based RDT. However, relying only on history of antimalarial treatment in undetermined cases may decrease algorithm's sensitivity, which could result in missing active or recurrent malaria infections.

Indexed as

AlgorithmsAntigens, ProtozoanFeverMalariaMalaria, FalciparumPlasmodium falciparumProtozoan ProteinsBurkina FasoChild, PreschoolFemaleHumansInfantMaleRapid Diagnostic TestsSeasonsAntigens, ProtozoanHRP-2 antigen, Plasmodium falciparumProtozoan Proteins

Identifiers

PMID42335182
PMCPMC13289890

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.