Evidence map›Paper›PMID 42310770›Full record

ArticleParasites & vectors2026

Sensitivity and specificity of HAT Bioline Abbott

Simon Kayembe, Fabien Vulu, Alain Mpanya, Eddy Kakiese, Rhyno Kalonji, Olivier Fataki, Nono-Raymond Swar Kuispond, Dieudonne Mumba Ngoyi

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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5 · Who and what money

Authors and funding

8 authors.

Simon KayembeDepartment of Tropical Medicine, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo. drsimonkayembe@gmail.com.
Fabien VuluDepartment of Tropical Medicine, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Alain MpanyaNational Program for the Control of Human African Trypanosomiasis, Kinshasa, Democratic Republic of the Congo.
Eddy KakieseDepartment of Tropical Medicine, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Rhyno KalonjiFaculty of Medicine, Protestant University of Congo, Kinshasa, Democratic Republic of the Congo.
Olivier FatakiDepartment of Parasitology, National Institute of Biomedical Research, Kinshasa, Democratic Republic of the Congo.
Nono-Raymond Swar KuispondDepartment of Parasitology, National Institute of Biomedical Research, Kinshasa, Democratic Republic of the Congo.
Dieudonne Mumba NgoyiDepartment of Tropical Medicine, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman African trypanosomiasis (HAT) due to Trypanosoma brucei gambiense has declined substantially in recent years, with many endemic areas now reporting very low prevalence levels as countries move toward elimination. In the Democratic Republic of the Congo (DRC), rapid diagnostic tests (RDTs) are increasingly used in surveillance and elimination programs; however, their performance in low-prevalence settings remains critical. This study evaluated and compared the diagnostic accuracy of two second-generation RDTs; HAT Bioline Abbott

methodsA retrospective diagnostic accuracy study was conducted on 447 archived plasma samples (227 confirmed HAT cases and 220 controls) from a previous study in the DRC. Each sample was tested with both RDTs and trypanolysis. Sensitivity, specificity, predictive values, likelihood ratios, Cohen's kappa coefficient, and Youden's index were calculated with 95% confidence intervals. Paired comparisons were performed using McNemar's χ

resultsHAT Bioline Abbott

conclusionsIn this retrospective study, HAT Sero K-Set CORIS

Indexed as

Trypanosoma brucei gambienseTrypanosomiasis, AfricanDemocratic Republic of the CongoHumansRapid Diagnostic TestsRetrospective StudiesSensitivity and SpecificityHAT Bioline Abbott® 2.0HAT Sero K-Set CORIS® 2.0HAT T. b. gambienseHuman African trypanosomiasisRapid diagnostic testsSensitivitySpecificityTrypanolysis test

Identifiers

PMID42310770
PMCPMC13520388

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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.