Evidence map›Paper›PMID 37033944›Full record

ArticleFrontiers in immunology2023

Advanced immunophenotyping: A powerful tool for immune profiling, drug screening, and a personalized treatment approach.

Teresa Preglej, Marie Brinkmann, Günter Steiner, Daniel Aletaha, Lisa Göschl, Michael Bonelli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Immunophenotyping Studies in Nonhuman Primate Models.Methods in molecular biology (Clifton, N.J.) · 2027
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  10. Observational
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  12. Closing Editorial: Immunophenotyping in Autoimmune Diseases and Cancer 3.0.International journal of molecular sciences · 2024
    Article
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  14. Review
  15. 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 at 1 institution in 1 country.

Teresa PreglejDivision of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Marie BrinkmannDivision of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Günter SteinerDivision of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Daniel AletahaDivision of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Lisa GöschlDivision of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Michael BonelliDivision of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various autoimmune diseases are characterized by distinct cell subset distributions and activation profiles of peripheral blood mononuclear cells (PBMCs). PBMCs can therefore serve as an ideal biomarker material, which is easily accessible and allows for screening of multiple cell types. A detailed understanding of the immune landscape is critical for the diagnosis of patients with autoimmune diseases, as well as for a personalized treatment approach. In our study, we investigate the potential of multi-parameter spectral flow cytometry for the identification of patients suffering from autoimmune diseases and its power as an evaluation tool for

Indexed as

Autoimmune DiseasesLeukocytes, MononuclearDrug Evaluation, PreclinicalHumansImmunophenotypingPrecision Medicinedrug screeningflow cytometryimmunophenotypingPBMC (peripheral blood mononucleated cells)T cells

Identifiers

PMID37033944
PMCPMC10080106
OpenAlexW4360866188

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.