Evidence map›Paper›PMID 29770141›Full record

ReviewFrontiers in immunology2018

Unraveling the Mechanisms of Cutaneous Graft-Versus-Host Disease.

Pedro Santos E Sousa, Clare L Bennett, Ronjon Chakraverty

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. 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
2.4field-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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Mast Cell Involvement in Fibrosis in Chronic Graft-Versus-Host Disease.International journal of molecular sciences · 2021
    Review
  8. Article
  9. Local immune cell infiltration in cutaneous acute graft versus host disease.International journal of women's dermatology · 2020
    Article
  10. Review
  11. Article
  12. 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

3 authors at 2 institutions in 1 country.

Pedro Santos E SousaUCL Cancer Institute, University College London, London, United Kingdom.
Clare L BennettUCL Cancer Institute, University College London, London, United Kingdom.
Ronjon ChakravertyUCL Cancer Institute, University College London, London, United Kingdom.
CRUK Lung Cancer Centre of Excellence · GBUniversity College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L001608/1
6 · The paper itself

Abstract

The skin is the most common target organ affected by graft-versus-host disease (GVHD), with severity and response to therapy representing important predictors of patient survival. Although many of the initiating events in GVHD pathogenesis have been defined, less is known about why treatment resistance occurs or why there is often a permanent failure to restore tissue homeostasis. Emerging data suggest that the unique immune microenvironment in the skin is responsible for defining location- and context-specific mechanisms of injury that are distinct from those involved in other target organs. In this review, we address recent advances in our understanding of GVHD biology in the skin and outline the new research themes that will ultimately enable design of precision therapies.

Indexed as

AnimalsB-LymphocytesCellular MicroenvironmentCytokinesGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHumansMiceMicrobiotaSkin DiseasesT-LymphocytesTransplantation, HomologousCytokinesantigen-presenting cellsB cellscutaneous graft-versus-host diseasemicrobiomepathophysiologyrepair mechanismsT cells

Identifiers

PMID29770141
PMCPMC5940745
OpenAlexW2801155431

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.