Evidence map›Paper›PMID 28824628›Full record

ReviewFrontiers in immunology2017

Invariant Natural Killer T Cells As Suppressors of Graft-versus-Host Disease in Allogeneic Hematopoietic Stem Cell Transplantation.

Melissa Mavers, Kristina Maas-Bauer, Robert S Negrin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

44 citing papers in PubMed, 67 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Graft-versus-Host Disease Modulation by Innate T Cells.International journal of molecular sciences · 2023
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Melissa MaversDivisions of Hematology/Oncology and Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University, Stanford, CA, United States.
Kristina Maas-BauerDivision of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA, United States.
Robert S NegrinDivision of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA, United States.
Stanford University · US

Funding

TLI/ATG CONDTIONING: KIDNEY/BLOOD STEM CELL TRANSPLANTSP01HL075462 · NHLBI · STANFORD UNIVERSITY · PI ENGLEMAN, EDGAR G. · 2004 to 2020
$27.9M
NHLBI NIH HHS P01 HL075462
6 · The paper itself

Abstract

Invariant natural killer T (iNKT) cells serve as a bridge between innate and adaptive immunity and have been shown to play an important role in immune regulation, defense against pathogens, and cancer immunity. Recent data also suggest that this compartment of the immune system plays a significant role in reducing graft-versus-host disease (GVHD) in the setting of allogeneic hematopoietic stem cell transplantation. Murine studies have shown that boosting iNKT numbers through certain conditioning regimens or adoptive transfer leads to suppression of acute or chronic GVHD. Preclinical work reveals that iNKT cells exert their suppressive function by expanding regulatory T cells

Indexed as

allogeneic hematopoietic stem cell transplantationgraft-versus-host diseasegraft-versus-tumor effectinvariant natural killer T cellsregulatory T cells

Identifiers

PMID28824628
PMCPMC5534641
OpenAlexW2740442984

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.