Evidence map›Paper›PMID 38628748›Full record

ArticleHeliyon2024

Automated, Point-of-Care mobile flow cytometry: Bringing the laboratory to the sample.

B N Jukema, T C Pelgrim, M Spoelder, C C W G Bongers, M T E Hopman, K Smit, M H Rijk, R P Venekamp, N Vrisekoop, L Koenderman

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Neutrophil phenotyping reflects injury severity when base excess and lactate remain normal.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  2. 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

10 authors at 2 institutions in 1 country.

B N JukemaDepartment of Respiratory Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
T C PelgrimDepartment of Respiratory Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
M SpoelderDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, Netherlands.
C C W G BongersDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, Netherlands.
M T E HopmanDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, Netherlands.
K SmitDepartment of General Practice and Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
M H RijkDepartment of General Practice and Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
R P VenekampDepartment of General Practice and Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
N VrisekoopDepartment of Respiratory Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
L KoendermanDepartment of Respiratory Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
Utrecht University · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Innate effector cells are very responsive to infectious and inflammatory cues found in damaged and inflamed tissues. Their activation is a potential target to assess the state of the immune system. Unfortunately, these cells are very susceptible for ex-vivo activation, hampering accurate interpretation of flow cytometry data. Whether a brief window exists before ex-vivo activation starts to occur is currently unknown. Aims: 1) This study extensively investigated ex-vivo activation of innate effector cells over time. 2) We tested the feasibility of applying a mobile, automated, flow cytometry laboratory for out-of-hospital Point-of-Care analyses to minimize ex-vivo activation bias. Methods: 1) Ex-vivo neutrophil, eosinophil and monocyte activation in a blood collection tube over time and the reactivity to a formyl-peptide was investigated in a healthy cohort. 2) To facilitate fast, out-of-hospital analysis, application of the mobile flow cytometry was tested by placing an automated flow cytometer into a van. The stability of the setup was assessed by repetitively measuring laser alignment and fluorescence verification beads. Findings: 1) Immediately after venipuncture activation marker expression on neutrophils, eosinophils and monocyte subsets started to change in a time-dependent manner. 2) The mobile flow cytometry laboratory travelled over 3000 km, performing measurements at 19 locations with a median single-person-set-up time of 14 min. The laser alignment and fluorescence were stable during all experiments. Conclusions: Accurate flow data of innate immune cells are only obtained when ex-vivo activation is kept to minimum. The use of a mobile, fast, automated, flow cytometry laboratory for out-of-hospital Point-of-Care analyses provides new investigational and diagnostic possibilities outside major hospital flow cytometry laboratories.

Indexed as

EosinophilFirst line careInnate immune activationMobile flow cytometryMonocyteMonocyte subsetsNear patientNeutrophilPoint-of-CareSystemic inflammation

Identifiers

PMID38628748
PMCPMC11019183
OpenAlexW4394726544

What Socratic 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 Socratic graph.