Evidence map›Paper›PMID 33382787›Full record

ArticlePloS one2020

Limitations of rapid diagnostic tests in malaria surveys in areas with varied transmission intensity in Uganda 2017-2019: Implications for selection and use of HRP2 RDTs.

Agaba B Bosco, Joaniter I Nankabirwa, Adoke Yeka, Sam Nsobya, Karryn Gresty, Karen Anderson, Paul Mbaka, Christiane Prosser, David Smith, Jimmy Opigo and 11 more

Erratum issuedOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  7. Pediatric MixedChildren (Basel, Switzerland) · 2026
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  15. Diagnostic accuracy ofExperimental biology and medicine (Maywood, N.J.) · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 7 institutions in 2 countries.

Agaba B BoscoCollege of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0003-4601-5171
Joaniter I NankabirwaCollege of Health Sciences, Makerere University, Kampala, Uganda.
Adoke YekaCollege of Health Sciences, Makerere University, Kampala, Uganda.
Sam NsobyaCollege of Health Sciences, Makerere University, Kampala, Uganda.
Karryn GrestyAustralian Defence Force Malaria and Infectious Disease Institute, Queensland, Australia.
Karen AndersonAustralian Defence Force Malaria and Infectious Disease Institute, Queensland, Australia.
Paul MbakaWorld Health Organization Country Office, Kampala, Uganda.
Christiane ProsserAustralian Defence Force Malaria and Infectious Disease Institute, Queensland, Australia.
David SmithAustralian Defence Force Malaria and Infectious Disease Institute, Queensland, Australia.
Jimmy OpigoNational Malaria Control Division, Kampala, Uganda.
Rhoda NamubiruCollege of Health Sciences, Makerere University, Kampala, Uganda.
Emmanuel ArinaitweInfectious Diseases Research Collaboration, Kampala, Uganda.
John KissaNational Health Information Division, Ministry of Health, Kampala, Uganda.
Samuel GonahasaInfectious Diseases Research Collaboration, Kampala, Uganda.
Sungho WonDepartment of Public Health Sciences, Seoul National University, Seoul, S. Korea.
Bora LeeDepartment of Public Health Sciences, Seoul National University, Seoul, S. Korea.
Chae Seung LimDepartment of Laboratory Medicine, College of Health Sciences, Korea University, Seoul, S. Korea.
Charles KaramagiCollege of Health Sciences, Makerere University, Kampala, Uganda.
Qin ChengAustralian Defence Force Malaria and Infectious Disease Institute, Queensland, Australia.ORCID 0000-0001-7776-4437
Joan K NakayagaCollege of Health Sciences, Makerere University, Kampala, Uganda.
Moses R KamyaCollege of Health Sciences, Makerere University, Kampala, Uganda.
Infectious Diseases Research Collaboration · UGMakerere University · UGMalaria Consortium · UGSeoul National University · KRKorea University · KRMinistry of Health · UGWorld Health Organization - Uganda · UG

Funding

Training in malaria surveillance, epidemiology and implementation science research to strengthen malaria policy and control in UgandaD43TW010526 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2017 to 2026
$2.3M
Impact of malaria control interventions on the infectious reservoir, host immunity, and drug resistance in UgandaK43TW010365 · FIC · INFECTIOUS DISEASES RES COLLABORATION · PI NANKABIRWA, JOANITER IMMACULATE · 2017 to 2021
$514k
FIC NIH HHS D43 TW010526FIC NIH HHS K43 TW010365World Health Organization 001
6 · The paper itself

Abstract

backgroundPlasmodium falciparum histidine-rich protein 2 (HRP2)-based rapid diagnostic tests (RDTs) are exclusively recommended for malaria diagnosis in Uganda; however, their functionality can be affected by parasite-related factors that have not been investigated in field settings.

methodsUsing a cross-sectional design, we analysed 219 RDT-/microscopy+ and 140 RDT+/microscopy+ dried blood spots obtained from symptomatic children aged 2-10 years from 48 districts in Uganda between 2017 and 2019. We aimed to investigate parasite-related factors contributing to false RDT results by molecular characterization of parasite isolates. ArcGIS software was used to map the geographical distribution of parasites. Statistical analysis was performed using chi-square or Fisher's exact tests, with P ≤ 0.05 indicating significance. Odds ratios (ORs) were used to assess associations, while logistic regression was performed to explore possible factors associated with false RDT results.

resultsThe presence of parasite DNA was confirmed in 92.5% (332/359) of the blood samples. The levels of agreement between the HRP2 RDT and PCR assay results in the (RDT+/microscopy+) and (RDT-/microscopy+) sample subsets were 97.8% (137/140) and 10.9% (24/219), respectively. Factors associated with false-negative RDT results in the (RDT-/microscopy+) samples were parasite density (<1,000/μl), pfhrp2/3 gene deletion and non-P. falciparum species (aOR 2.65, 95% CI: 1.62-4.38, P = 0.001; aOR 4.4, 95% CI 1.72-13.66, P = 0.004; and aOR 18.65, 95% CI: 5.3-38.7, P = 0.001, respectively). Overall, gene deletion and non-P. falciparum species contributed to 12.3% (24/195) and 19.0% (37/195) of false-negative RDT results, respectively. Of the false-negative RDTs results, 80.0% (156/195) were from subjects with low-density infections (< 25 parasites per 200 WBCs or <1,000/μl).

conclusionThis is the first evaluation and report of the contributions of pfhrp2/3 gene deletion, non-P. falciparum species, and low-density infections to false-negative RDT results under field conditions in Uganda. In view of these findings, the use of HRP2 RDTs should be reconsidered; possibly, switching to combination RDTs that target alternative antigens, particularly in affected areas, may be beneficial. Future evaluations should consider larger and more representative surveys covering other regions of Uganda.

Indexed as

Antigens, ProtozoanChildChild, PreschoolCross-Sectional StudiesDNA, ProtozoanDried Blood Spot TestingEpidemiological MonitoringFalse Negative ReactionsFalse Positive ReactionsFemaleHumansMalaria, FalciparumMalePlasmodium falciparumPolymerase Chain ReactionPrevalenceAntigens, ProtozoanDNA, ProtozoanHRP-2 antigen, Plasmodium falciparumProtozoan ProteinsReagent Kits, Diagnostic

Identifiers

PMID33382787
PMCPMC7774953
OpenAlexW3117007133

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.