Evidence map›Paper›PMID 19392797›Full record

ArticleTissue antigens2009

TNF, LTA and TGFB1 genotype distributions among acute graft-vs-host disease subsets after HLA-matched unrelated hematopoietic stem cell transplantation: a pilot study.

R Shah, S T Selby, B Yokley, R S Slack, C K Hurley, P E Posch

Open access · greenAbstract read
In one paragraph

Article in Tissue antigens, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

6 authors at 2 institutions in 1 country.

R ShahDepartment of Oncology, Georgetown University Medical Center, Washington, DC 20057, USA.
S T Selby
B Yokley
R S Slack
C K Hurley
P E Posch
Georgetown University · USGeorgetown University Medical Center · US

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
NCI NIH HHS U24 CA076518PHS HHS 240-97-0036
6 · The paper itself

Abstract

Cytokine single nucleotide polymorphisms and consequent production levels have been associated with acute graft-vs-host disease (aGVHD) development. The aim of this pilot study was to determine whether polymorphisms in tumor necrosis factor (TNF), lymphotoxin alpha (LTA) and transforming growth factor beta 1 (TGFB1) showed any association with aGVHD severity. Novel alleles and polymorphisms were identified for each cytokine locus. Genotype distributions were examined in 38 recipient-donor pairs (all chronic myelogenous leukemia in the first chronic phase) with either low-grade (grades 0-I) or high-grade (grades III-IV) aGVHD. Although no significant differences were found, some trends were noted in genotype distributions among aGVHD-grade groups. Power calculations determined that substantially more pairs would be required to show significant associations in distributions among aGVHD-grade groups.

Indexed as

AdolescentAdultFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHumansLymphotoxin-alphaMaleMiddle AgedPilot ProjectsPolymorphism, Single NucleotidePromoter Regions, GeneticTransforming Growth Factor beta1Lymphotoxin-alphaTransforming Growth Factor beta1Tumor Necrosis Factor-alpha

Identifiers

PMID19392797
PMCPMC3215084
OpenAlexW1965285857

What OpenQuestion holds

Textmetadata
LicenceTDM
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.