Evidence map›Paper›PMID 33240262›Full record

ArticleFrontiers in immunology2020

Identification of CD137-Expressing B Cells in Multiple Sclerosis Which Secrete IL-6 Upon Engagement by CD137 Ligand.

Hiu Yi Wong, Ankshita Prasad, Shu Uin Gan, John Jia En Chua, Herbert Schwarz

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 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. CD226Frontiers in immunology · 2025
    Article
  8. Soluble CD137: A Potential Prognostic Biomarker in Critically Ill Patients.International journal of molecular sciences · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. 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

5 authors at 1 institution in 1 country.

Hiu Yi WongDepartment of Physiology, National University of Singapore, Singapore, Singapore.
Ankshita PrasadInstitute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.
Shu Uin GanDepartment of Surgery, National University of Singapore, Singapore, Singapore.
John Jia En ChuaDepartment of Physiology, National University of Singapore, Singapore, Singapore.
Herbert SchwarzDepartment of Physiology, National University of Singapore, Singapore, Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potent costimulatory effect of CD137 has been implicated in several murine autoimmune disease models. CD137 costimulates and polarizes antigen-specific T cells toward a potent Th1/Tc1 response, and is essential for the development of experimental autoimmune encephalomyelitis (EAE), a murine model of Multiple Sclerosis (MS). This study aimed to investigate a role of CD137 in MS. Immunohistochemical and immunofluorescence staining of MS brain tissues was used to identify expression of CD137. CD137

Indexed as

4-1BB LigandAdultAgedAged, 80 and overB-LymphocytesCells, CulturedFemaleHumansInterleukin-6Lymphocyte ActivationMaleMeningesMiddle AgedMultiple SclerosisSignal TransductionTumor Necrosis Factor Receptor Superfamily, Member 94-1BB LigandInterleukin-6Tumor Necrosis Factor Receptor Superfamily, Member 9B cellCD137IL-6multiple sclerosisneuroinflammation

Identifiers

PMID33240262
PMCPMC7677239
OpenAlexW3097362772

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.