Evidence map›Paper›PMID 31354747›Full record

ArticleFrontiers in immunology2019

CD4

Rika Kato, Shuji Sumitomo, Yumi Tsuchida, Haruka Tsuchiya, Shinichiro Nakachi, Keiichi Sakurai, Norio Hanata, Yasuo Nagafuchi, Kanae Kubo, Shoko Tateishi and 4 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. CD4iScience · 2023
    Article
  11. Article
  12. From bench to bedside: targeting lymphocyte activation gene 3 as a therapeutic strategy for autoimmune diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Emerging patterns of regulatory T cell function in tuberculosis.Clinical and experimental immunology · 2020
    Review
  19. Review
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

14 authors.

Rika KatoDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shuji SumitomoDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yumi TsuchidaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Haruka TsuchiyaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shinichiro NakachiDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Keiichi SakuraiDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Norio HanataDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yasuo NagafuchiDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kanae KuboDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shoko TateishiDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroko KandaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tomohisa OkamuraDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kazuhiko YamamotoCenter for Integrative Medical Sciences, The Institute of Physical and Chemical Research, Yokohama, Japan.
Keishi FujioDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune disease that involves multiple immune cell subsets. We analyzed immune cell subsets in human peripheral blood mononuclear cells (PBMC) in order to identify the cells that are significantly associated with SLE disease activity and treatment. The frequencies of various subsets of CD4

Indexed as

AdultBiomarkersB-LymphocytesDisease SusceptibilityFemaleHumansInterleukin-2 Receptor alpha SubunitLupus Erythematosus, SystemicLymphocyte ActivationMaleMannosyltransferasesMiddle AgedMonocytesTh17 CellsT-Lymphocyte SubsetsALG3 protein, humanBiomarkersInterleukin-2 Receptor alpha SubunitMannosyltransferasesLAG3regulatory T cellsSLEDAIsystematic lupus erythematosusTh17

Identifiers

PMID31354747
PMCPMC6640175

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.