ArticleThe Journal of international medical research2022
Agreement among rapid diagnostic tests, urine malaria tests, and microscopy in malaria diagnosis of adult patients in southwestern Nigeria.
Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Noninvasive malaria detection beyond blood sampling.Sensors & diagnostics · 2026Review
- High Burden of Asymptomatic Malaria Among Schoolchildren in Nigeria: Diagnosis Challenges andPathogens (Basel, Switzerland) · 2026Article
- Can Wastewater Surveillance Enhance Genomic Tracking of Climate-Driven Pathogens?Microorganisms · 2025Review
- Urine and Saliva: Relevant Specimens for Malaria Diagnosis?Diagnostics (Basel, Switzerland) · 2022Review
- Comparative Performance of Blood and Urine Malaria Rapid Diagnostic Tests in Detecting Malaria in Febrile Children: A Cross-Sectional Analysis.Sage open pediatricsArticle
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe determined the malaria prevalence and ascertained the degree of agreement among rapid diagnostic tests (RDTs), urine malaria tests, and microscopy in malaria diagnosis of adults in Nigeria.
methodsThis was a cross-sectional study among 384 consenting patients recruited at a tertiary health facility in southwestern Nigeria. We used standardized interviewer-administered questionnaires to collect patients' sociodemographic information. Venous blood samples were collected and processed for malaria parasite detection using microscopy, RDTs, and urine malaria tests. The degree of agreement was determined using Cohen's kappa statistic.
resultsThe malaria prevalence was 58.3% (95% confidence interval [CI]: 53.0-63.1), 20.6% (95% CI: 16.6-25.0), and 54.2% (95% CI: 49.0-59.2) for microscopy, RDTs, and urine malaria test, respectively. The percent agreement between microscopy and RDTs was 50.8%; the expected agreement was 45.1% and Cohen's kappa was 0.104. The percent agreement between microscopy and urine malaria tests was 52.1%; the expected agreement was 50.7% and Cohen's kappa was 0.03.
conclusionThe malaria prevalence was dependent on the method of diagnosis. This study revealed that RDTs are a promising diagnostic tool for malaria in resource-limited settings. However, urine malaria test kits require further improvement in sensitivity prior to field use in malaria-endemic settings.
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