Evidence map›Paper›PMID 26813345›Full record

ReviewMucosal immunology2016

Translational opportunities for targeting the Th17 axis in acute graft-vs.-host disease.

F Malard, B Gaugler, B Lamarthee, M Mohty

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mucosal immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The absence of AhR in CD4Clinical epigenetics · 2022
    Article
  5. Rejection of intestinal allotransplants is driven by memory T helper type 17 immunity and responds to infliximab.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. High-Dose IL-2 Skews a Glucocorticoid-Driven IL-17Journal of immunology (Baltimore, Md. : 1950) · 2019
    Article
  11. Article
  12. Article
  13. Targeting Inflammatory T Helper CellsFrontiers in immunology · 2018
    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

4 authors.

F MalardUniversité Pierre et Marie Curie, Paris, France.
B GauglerUniversité Pierre et Marie Curie, Paris, France.
B LamartheeUniversité Pierre et Marie Curie, Paris, France.
M MohtyUniversité Pierre et Marie Curie, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allogeneic stem cell transplantation (allo-SCT) is a curative therapy for different life-threatening malignant and non-malignant hematologic disorders. Acute graft-vs.-host disease (aGVHD) and particularly gastrointestinal aGVHD remains a major source of morbidity and mortality following allo-SCT, which limits the use of this treatment in a broader spectrum of patients. Better understanding of aGVHD pathophysiology is indispensable to identify new therapeutic targets for aGVHD prevention and therapy. Growing amount of data suggest a role for T helper (Th)17 cells in aGVHD pathophysiology. In this review, we will discuss the current knowledge in this area in animal models and in humans. We will then describe new potential treatments for aGVHD along the Th17 axis.

Indexed as

Hematopoietic Stem Cell TransplantationAcute DiseaseAnimalsAntibodies, Monoclonal, HumanizedClinical Trials as TopicCytokinesDisease Models, AnimalGastrointestinal TractGraft vs Host DiseaseHematologic DiseasesHumansLiverMiceMolecular Targeted TherapySkinTh17 CellsAntibodies, Monoclonal, HumanizedCytokines

Identifiers

PMID26813345

What OpenQuestion holds

Textmetadata
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.