Evidence map›Paper›PMID 33668220›Full record

ArticleCells2021

Importance of between and within Subject Variability in Extracellular Vesicle Abundance and Cargo when Performing Biomarker Analyses.

Lauren A Newman, Alia Fahmy, Michael J Sorich, Oliver G Best, Andrew Rowland, Zivile Useckaite

Abstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Plasma-Derived Extracellular Vesicle Proteomics.Journal of proteome research · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Novel Approaches to Characterize Individual Drug Metabolism and Advance Precision Medicine.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

6 authors.

Lauren A NewmanCollege of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0003-3303-1666
Alia FahmyCollege of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.
Michael J SorichCollege of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0003-1999-866X
Oliver G BestCollege of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.
Andrew RowlandCollege of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.
Zivile UseckaiteCollege of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small extracellular vesicles (sEV) have emerged as a potential rich source of biomarkers in human blood and present the intriguing potential for a 'liquid biopsy' to track disease and the effectiveness of interventions. Recently, we have further demonstrated the potential for EV derived biomarkers to account for variability in drug exposure. This study sought to evaluate the variability in abundance and cargo of global and liver-specific circulating sEV, within (diurnal) and between individuals in a cohort of healthy subjects (

Indexed as

AdolescentAdultAgedBiomarkers, TumorExtracellular VesiclesHealthy VolunteersHumansLiquid BiopsyMiddle AgedYoung AdultBiomarkers, Tumorbiomarkersdiurnal variabilityextracellular vesiclesliquid biopsyliver specific

Identifiers

PMID33668220
PMCPMC7996254

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.