Evidence map›Paper›PMID 31681468›Full record

ArticleJournal of extracellular vesicles2019

Determination of variability due to biological and technical variation in urinary extracellular vesicles as a crucial step in biomarker discovery studies.

Eline Oeyen, Hanny Willems, Ruben 't Kindt, Koen Sandra, Kurt Boonen, Lucien Hoekx, Stefan De Wachter, Filip Ameye, Inge Mertens

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  8. Article
  9. Article
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  14. Review
  15. Article
  16. Urinary Extracellular Vesicles Magic Particles for Biomarker Discovery.Advances in experimental medicine and biology · 2021
    Article
  17. Article
  18. Switching Homes: How Cancer Moves to Bone.International journal of molecular sciences · 2020
    Review
  19. Review
  20. Article
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

9 authors.

Eline OeyenHealth Department, Flemish Institute for Technological Research (VITO), Mol, Belgium.ORCID 0000-0003-3227-7250
Hanny WillemsHealth Department, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Ruben 't KindtResearch Institute for Chromatography, Kortrijk, Belgium.
Koen SandraResearch Institute for Chromatography, Kortrijk, Belgium.
Kurt BoonenHealth Department, Flemish Institute for Technological Research (VITO), Mol, Belgium.ORCID 0000-0002-6252-7065
Lucien HoekxUrology Department, Antwerp University Hospital (UZA), Edegem, Belgium.
Stefan De WachterUrology Department, Antwerp University Hospital (UZA), Edegem, Belgium.ORCID 0000-0002-6183-9251
Filip AmeyeUrology Department, AZ Maria Middelares Ghent, Ghent, Belgium.
Inge MertensHealth Department, Flemish Institute for Technological Research (VITO), Mol, Belgium.ORCID 0000-0002-4888-3485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary extracellular vesicles (EVs) are an attractive source of biomarkers for urological diseases. A crucial step in biomarker discovery studies is the determination of the variation parameters to perform a sample size calculation. In this way, a biomarker discovery study with sufficient statistical power can be performed to obtain biologically significant biomarkers. Here, a variation study was performed on both the protein and lipid content of urinary EVs of healthy individuals, aged between 52 and 69 years. Ultrafiltration (UF) in combination with size exclusion chromatography (SEC) was used to isolate the EVs from urine. Different experimental variation set-ups were used in this variation study. The calculated standard deviations (SDs) of the 90% least variable peptides and lipids did not exceed 2 and 1.2, respectively. These parameters can be used in a sample size calculation for a well-designed biomarker discovery study at the cargo of EVs.

Indexed as

biomarker discoveryExtracellular vesiclesLC-MS/MSlipidomicspower analysisproteomicssample size calculationsize exclusion chromatographyurinevariation

Identifiers

PMID31681468
PMCPMC6807909

What OpenQuestion holds

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LicenceCC BY-NC
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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.