Evidence map›Paper›PMID 39910229›Full record

ArticleScientific reports2025

Assessment of different genotyping markers and algorithms for distinguishing Plasmodium falciparum recrudescence from reinfection in Uganda.

Alex Mwesigwa, Monica Golumbeanu, Sam Jones, Sara L Cantoreggi, Benson Musinguzi, Joaniter I Nankabirwa, Everd Maniple Bikaitwoha, Joan N Kalyango, Charles Karamagi, Mateusz Plucinski and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Alex MwesigwaClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda. mwesigwaalex@gmail.com.
Monica GolumbeanuSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Sam JonesMMV Medicines for Malaria Venture, Geneva, Switzerland.
Sara L CantoreggiSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Benson MusinguziDepartent of Medical Laboratory Science, Faculty of Health Sciences, Muni University, P.O Box 725, Arua, Uganda.
Joaniter I NankabirwaClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda.
Everd Maniple BikaitwohaDepartment of Community Health, School of Medicine, Kabale University, P. O Box 314, Kabale, Uganda.
Joan N KalyangoClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda.
Charles KaramagiClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda.
Mateusz PlucinskiU.S. President's Malaria Initiative, Centers for Disease Control and Prevention, Atlanta, GA, 30345, USA.
Samuel L NsobyaInfectious Diseases Research Collaboration, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda.
Christian NsanzabanaSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Pauline Byakika-KibwikaMbarara University of Science and Technology, Mbarara, Uganda.

Funding

Government of Uganda through the Makerere University Research and Innovation Fund (Mak-RIF PhD grants) N/A
6 · The paper itself

Abstract

Antimalarial therapeutic efficacy studies are vital for monitoring drug efficacy in malaria-endemic regions. The WHO recommends genotyping polymorphic markers including msp-1, msp-2, and glurp for distinguishing recrudescences from reinfections. Recently, WHO proposed replacing glurp with microsatellites (Poly-α, PfPK2, TA1). However, suitable combinations with msp-1 and msp-2, as well as the performance of different algorithms for classifying recrudescence, have not been systematically assessed. This study investigated various microsatellites alongside msp-1 and msp-2 for molecular correction and compared different genotyping algorithms across three sites in Uganda. Microsatellites 313, Poly-α, and 383 exhibited the highest diversity, while PfPK2 and Poly-α revealed elevated multiplicity of infection (MOI) across all sites. The 3/3 match-counting algorithm classified significantly fewer recrudescences than both the ≥ 2/3 and Bayesian algorithms at probability cutoffs of ≥ 0.7 and ≥ 0.8 (P < 0.05). The msp-1/msp-2/2490 combination identified more recrudescences using the ≥ 2/3 and 3/3 algorithms in the artemether-lumefantrine (AL) treatment arm, while msp-1/msp-2/glurp combination classified more cases of recrudescence using the ≥ 2/3 in the dihydroartemisinin-piperaquine (DP) arm. Microsatellites PfPK2 and Poly-α, potentially sensitive to detecting minority clones, are promising replacements for glurp. Discrepancies in recrudescence classification between match-counting and Bayesian algorithms highlight the need for standardized PCR correction practices.

Indexed as

AlgorithmsMalaria, FalciparumPlasmodium falciparumAntigens, ProtozoanAntimalarialsGenetic MarkersGenotypeGenotyping TechniquesHumansMerozoite Surface Protein 1Microsatellite RepeatsProtozoan ProteinsRecurrenceUgandaAntigens, ProtozoanAntimalarialsGenetic MarkersMerozoite Surface Protein 1merozoite surface protein 2, PlasmodiumProtozoan ProteinsAntimalarial drugMicrosatellitesmsp-1msp-2Plasmodium falciparumRecrudescenceReinfection

Identifiers

PMID39910229
PMCPMC11799330

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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.