Evidence map›Paper›PMID 31817458›Full record

ArticleMicromachines2019

Development of a Lab-on-a-Disk Platform with Digital Imaging for Identification and Counting of Parasite Eggs in Human and Animal Stool.

Sertan Sukas, Bieke Van Dorst, Agata Kryj, Ole Lagatie, Wim De Malsche, Lieven J Stuyver

Abstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Diagnosis of Human Trematode Infections.Advances in experimental medicine and biology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Parasitology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Diagnostic Techniques for Soil-Transmitted Helminths - Recent Advances.Research and reports in tropical medicine · 2021
    Review
  17. Review
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

6 authors.

Sertan SukasµFlow group, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussel, Belgium.
Bieke Van DorstJanssen Global Public Health, Turnhoutseweg 30, 2340 Beerse, Belgium.
Agata KryjµFlow group, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussel, Belgium.
Ole LagatieJanssen Global Public Health, Turnhoutseweg 30, 2340 Beerse, Belgium.ORCID 0000-0002-0638-1313
Wim De MalscheµFlow group, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussel, Belgium.ORCID 0000-0002-1955-7912
Lieven J StuyverJanssen Global Public Health, Turnhoutseweg 30, 2340 Beerse, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a lab-on-a-disk technology for fast identification and quantification of parasite eggs in stool. We introduce a separation and packing method of eggs contained in 1 g of stool, allowing for removal of commonly present solid particles, fat droplets and air bubbles. The separation is based on a combined gravitational and centrifugal flotation, with the eggs guided to a packed monolayer, enabling quantitation and identification of subtypes of the eggs present in a single field of view (FOV). The prototype was tested with stool samples from pigs and humans infected with intestinal parasites (soil-transmitted helminths eggs). The quality of the images created by this platform was appropriate for identification and quantification of egg types present in the sample.

Indexed as

diagnostic microfluidic deviceparasite egg identification and quantificationparticle separation

Identifiers

PMID31817458
PMCPMC6952989

What OpenQuestion holds

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Registered trials

None linked

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.