Evidence map›Paper›PMID 42558930›Full record

SynthesisFrontiers in parasitology2026

Diagnostic accuracy of rapid and point-of-care tests for

Erica Draxl, Eleanor Ochodo, Pavitra Pillay, Ntombizodwa Ndlovu

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in parasitology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Erica DraxlSchool of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
Eleanor OchodoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Pavitra PillayDepartment of Biomedical and Clinical Technology, Faculty of Health Sciences, Durban University of Technology, Durban, South Africa.
Ntombizodwa NdlovuSchool of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate and accessible point-of-care testing for urogenital schistosomiasis (UGS) is vital for control and prevention in sub-Saharan Africa. Point-of-care (POC) rapid diagnostic tests with high sensitivity for both high and low parasite burdens have been developed. These tests need to be assessed for their applicability in poorly resourced UGS-endemic areas so that control programs can be initiated, and improved screening and routine diagnosis can be implemented. Methods: This diagnostic test accuracy (DTA) review evaluates the sensitivity and specificity of eligible field-based index tests compared to laboratory-based reference tests for the diagnosis of UGS among individuals from Africa. Four databases were systematically searched for DTA studies on Results: Twenty-nine studies were evaluated, in which nine different POC and rapid tests were eligible, and four were included in a meta-analysis. Two field-based molecular tests, loop-mediated isothermal amplification (LAMP) and recombinase polymerase amplification (RPA), demonstrated high accuracy (sensitivity, 94.7%; specificity, 66.4%; and sensitivity, 94.1%; specificity, 96.6%, respectively). The immunochromatographic-rapid diagnostic test (ICT-RDT) and Conclusion: Further validation with improved reference standards is required to assess the diagnostic accuracy of many of the tests identified. RPA and LAMP emerged as promising field-applicable rapid tests for schistosomiasis control.

Indexed as

field-based diagnostic testslow-resource settingsrapid diagnostic testsSchistosoma haematobiumurogenital schistosomiasis

Identifiers

PMID42558930
PMCPMC13439233

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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.