Evaluating the Performance of FlukeCatcher at Detecting Urogenital Schistosomiasis Article Swipe
Louis Fok
,
Berhanu Erko
,
David M. Brett‐Major
,
Abebe Animut
,
M. Jana Broadhurst
,
Daisy Dai
,
John Linville
,
Bruno Levecke
,
Yohannes Negash
,
Abraham Degarege
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics14101037
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics14101037
Urine filtration microscopy (UFM) lacks sensitivity in detecting low-intensity Schistosoma haematobium infections. In pursuit of a superior alternative, this study evaluated the performance of FlukeCatcher microscopy (FCM) at detecting S. haematobium eggs in human urine samples. Urine samples were collected from 572 school-age children in Afar, Ethiopia in July 2023 and examined using UFM and FCM approaches. Using the combined UFM and FCM results as a reference, the sensitivity, negative predictive value, and agreement levels for the two testing methods in detecting S. haematobium eggs in urine samples were calculated. The sensitivity and negative predictive value of detecting S. haematobium eggs in urine samples for FCM was 84% and 97%, respectively, compared to 65% and 93% for UFM. The FCM test results had an agreement of 61% with the UFM results, compared to 90% with the combined results of FCM and UFM. However, the average egg count estimates were lower when using FCM (6.6 eggs per 10 mL) compared to UFM (14.7 eggs per 10 mL) (p < 0.0001). Incorporating FCM into specimen processing could improve the diagnosis of S. haematobium infection but may underperform in characterizing the intensity of infection.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/diagnostics14101037
- https://www.mdpi.com/2075-4418/14/10/1037/pdf?version=1715934644
- OA Status
- gold
- Cited By
- 1
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4397005849
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4397005849Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/diagnostics14101037Digital Object Identifier
- Title
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Evaluating the Performance of FlukeCatcher at Detecting Urogenital SchistosomiasisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-17Full publication date if available
- Authors
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Louis Fok, Berhanu Erko, David M. Brett‐Major, Abebe Animut, M. Jana Broadhurst, Daisy Dai, John Linville, Bruno Levecke, Yohannes Negash, Abraham DegaregeList of authors in order
- Landing page
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https://doi.org/10.3390/diagnostics14101037Publisher landing page
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https://www.mdpi.com/2075-4418/14/10/1037/pdf?version=1715934644Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2075-4418/14/10/1037/pdf?version=1715934644Direct OA link when available
- Concepts
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Schistosomiasis, Genitourinary system, Medicine, Biology, Internal medicine, Immunology, HelminthsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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