Evidence map›Paper›PMID 32153591›Full record

ArticleFrontiers in immunology2020

Mass Cytometry Studies of Patients With Autoimmune Endocrine Diseases Reveal Distinct Disease-Specific Alterations in Immune Cell Subsets.

Louise Magnusson, Hugo Barcenilla, Mikael Pihl, Sophie Bensing, Daniel Espes, Per-Ola Carlsson, Rosaura Casas

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Review
  5. How Does Vitamin D Affect Immune Cells Crosstalk in Autoimmune Diseases?International journal of molecular sciences · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
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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

7 authors at 3 institutions in 1 country.

Louise MagnussonDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Hugo BarcenillaDivision of Children and Women Health, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Mikael PihlCore Facility Flow Cytometry Unit, Faculty of Medicine, Linköping University, Linköping, Sweden.
Sophie BensingDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Daniel EspesDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Per-Ola CarlssonDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Rosaura CasasDivision of Children and Women Health, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Linköping University · SEUppsala University · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although there is evidence that autoimmune diseases share similar immunogenetic mechanisms, studies comparing peripheral CD45

Indexed as

AdultAntibodiesAutoimmune DiseasesCell DifferentiationCell LineageDendritic CellsEndocrine System DiseasesFemaleFlow CytometryHumansKiller Cells, NaturalLanthanoid Series ElementsMaleMass SpectrometryT-LymphocytesAntibodiesLanthanoid Series ElementsAddison's diseaseantigen-presenting cellsGraves' diseaseHashimoto's thyroiditismass cytometry (CyTOF)NK cellsT cellstype 1 diabetes

Identifiers

PMID32153591
PMCPMC7047233
OpenAlexW3008106529

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.