Evidence map›Paper›PMID 42898360›Full record

ArticleFrontiers in parasitology2026

Effect of urine storage conditions on circulating anodic antigen detection using the UCP-LF CAA test.

Pytsje T Hoekstra, Govert J van Dam, Maureen Blokland-Flink, Danielle de Jong, Said M Ali, Mohammed N Ali, Naomi C Ndum, Stefanie Knopp, Paul L A M Corstjens, Lisette van Lieshout

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Article in Frontiers in parasitology, 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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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

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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

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5 · Who and what money

Authors and funding

10 authors.

Pytsje T HoekstraLeiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, Netherlands.
Govert J van DamLeiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, Netherlands.
Maureen Blokland-FlinkLeiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, Netherlands.
Danielle de JongDepartment of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands.
Said M AliPublic Health Laboratory - Ivo de Carneri, Pemba, Tanzania.
Mohammed N AliPublic Health Laboratory - Ivo de Carneri, Pemba, Tanzania.
Naomi C NdumSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Stefanie KnoppSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Paul L A M CorstjensDepartment of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands.
Lisette van LieshoutLeiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Schistosomiasis is a parasitic neglected tropical disease that remains a major public health problem in many African countries. Accurate diagnosis is essential for control, surveillance and elimination efforts. Conventional parasitological methods have limited sensitivity, particularly in low-intensity infections commonly observed after treatment or in low-endemic settings. Circulating anodic antigen (CAA), released by live Methods: We investigated the effect of freezing and non-frozen storage on urine CAA detection using the UCP-LF CAA test, compared with freshly tested urine. The study was conducted among school-aged children in a near-elimination Results: CAA positivity decreased from 44/272 (16.2%) in fresh urine to 35/272 (12.9%) after freezing. In the subset, positivity was 20/153 (13.1%) in fresh, 16/153 (10.5%) in frozen, and 24/153 (15.7%) in non-frozen stored urine. CAA concentrations showed strong correlation between storage conditions (Spearman's ρ = 0.86-0.93, p<0.0001). Freezing was associated with a small but significant reduction in CAA positivity (p=0.004), while CAA concentrations showed a non-significant trend towards lower values after freezing. Non-frozen stored samples showed generally comparable results to fresh urine. Discussion/Conclusion: In conclusion, these findings suggest that flexible urine storage strategies may be feasible for delayed centralized CAA testing, although freezing may result in loss of detection among samples with CAA concentrations close to the assay cut-off.

Indexed as

antigen detectionCAAdiagnosticsschistosomiasisstabilityUCP-LF CAAurine storage

Identifiers

PMID42898360
PMCPMC13677902

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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.