Evidence map›Paper›PMID 30723262›Full record

ArticleBone marrow transplantation2019

T-cell frequencies of CD8

Ahmed Gaballa, Arwen Stikvoort, Björn Önfelt, Jonas Mattsson, Mikael Sundin, Emma Watz, Michael Uhlin

Abstract read
PubMed Publisher
In one paragraph

Article in Bone marrow transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Trial
  3. γδ T cells show distinct responses to CMV after stem cell transplantation.Journal of molecular medicine (Berlin, Germany) · 2026
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  17. CD8Stem cells international · 2019
    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

7 authors.

Ahmed GaballaDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden. ahmed.gaballa@ki.se.ORCID http://orcid.org/0000-0002-5277-5129
Arwen StikvoortDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Björn ÖnfeltMicrobiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Jonas MattssonDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Mikael SundinDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-9871-0961
Emma WatzDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Michael UhlinDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden. michael.uhlin@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of intra-graft T cells on the clinical outcome after allogeneic hematopoietic cell transplantation has been investigated. Most previous studies have focused on the role of αβ cells while γδ cells have received less attention. It has been an open question whether γδ cells are beneficial or not for patient outcome, especially with regards to graft versus host disease. In this study, graft composition of γδ cell subsets was analyzed and correlated to clinical outcome in 105 recipients who underwent allogeneic hematopoietic cell transplantation between 2013 and 2016. We demonstrate for the first time that grafts containing higher T-cell proportions of CD8

Indexed as

CD8-Positive T-LymphocytesFemaleHematopoietic Stem Cell TransplantationHumansMaleMiddle AgedT-LymphocytesTransplantation ConditioningTransplantation, HomologousTreatment OutcomeTumor Necrosis Factor Receptor Superfamily, Member 7Tumor Necrosis Factor Receptor Superfamily, Member 7

Identifiers

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.