Evidence map›Paper›PMID 41753926›Full record

ArticleMicromachines2026

Single-Imaging Parasite-Quantification Microfluidic Device for Detection and Analysis of Schistosoma Eggs in Urine.

Heaven D Chitemo, Vyacheslav R Misko, Matthieu Briet, Jeffer Bhuko, Filip Legein, Humphrey D Mazigo, Wim De Malsche

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Heaven D ChitemoDepartment of Biochemistry & Molecular Biology, School of Medicine, Catholic University of Health and Allied Sciences, Mwanza P.O. Box 1464, Tanzania.ORCID 0009-0001-7741-6405
Vyacheslav R MiskoµFlow Group, Department of Bioengineering Sciences, Department of Chemical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium.ORCID 0000-0002-5290-412X
Matthieu BrietµFlow Group, Department of Bioengineering Sciences, Department of Chemical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium.ORCID 0000-0002-1571-2233
Jeffer BhukoDepartment of Pathology, School of Medicine, Catholic University of Health and Allied Sciences, Mwanza P.O. Box 1464, Tanzania.ORCID 0000-0002-1118-2482
Filip LegeinµFlow Group, Department of Bioengineering Sciences, Department of Chemical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium.
Humphrey D MazigoDepartment of Medical Parasitology, School of Medicine, Catholic University of Health and Allied Sciences, Mwanza P.O. Box 1464, Tanzania.ORCID 0000-0001-5219-6234
Wim De MalscheµFlow Group, Department of Bioengineering Sciences, Department of Chemical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium.ORCID 0000-0002-1955-7912

Funding

VLIR-UOS Short Initiative 2022 ET2022SIN345A105VLIR-UOS South Initiative 2020 TZ2020SIN308A105VLIR-UOS TEAM 2024 TZ2024TEA571A105
6 · The paper itself

Abstract

The accurate diagnosis of schistosomiasis for effective disease surveillance, treatment, and follow-up is crucial to attain the World Health Organization's 2030 goal to eliminate schistosomiasis as a public health problem. The current diagnostic tools for urinary schistosomiasis, including the gold standard urine filtration test, have been reported to show low sensitivity in detecting low-intensity infections, which, when missed, act as reservoirs for infections-an evident gap in endemic areas where preventive chemotherapy reduces infection intensities. This study assessed the laboratory-based performance of the newly developed urinary Single Imaging Parasite Quantification chip for

Indexed as

microfluidicsneglected tropical diseasesSingle Image Parasite Quantification (SIMPAQ)urinary schistosomiasis

Identifiers

PMID41753926
PMCPMC12943404

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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.