Evidence map›Paper›PMID 25774595›Full record

Trial reportBone marrow transplantation2015

Risk model incorporating donor IL6 and IFNG genotype and gastrointestinal GVHD can discriminate patients at high risk of steroid refractory acute GVHD.

N Alam, W Xu, E G Atenafu, J Uhm, M Seftel, V Gupta, J Kuruvilla, J H Lipton, H A Messner, D D H Kim

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Bone marrow transplantation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Association of IFN-γ polymorphisms with ankylosing spondylitis risk.Journal of cellular and molecular medicine · 2020
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

10 authors at 2 institutions in 1 country.

N AlamAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
W XuDepartment of Biostatistics, Princess Margaret Cancer Center, University of Toronto, Toronto, Ontario, Canada.
E G AtenafuDepartment of Biostatistics, Princess Margaret Cancer Center, University of Toronto, Toronto, Ontario, Canada.
J UhmAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
M SeftelAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
V GuptaAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
J KuruvillaAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
J H LiptonAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
H A MessnerAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
D D H KimAllogeneic Blood and Marrow Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Center, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CAPrincess Margaret Cancer Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Steroid refractory acute GVHD (SR aGVHD) is associated with high morbidity and mortality. This study attempted to generate a risk model for SR aGVHD using 259 single nucleotide polymorphisms (SNPs) in 53 genes of recipients and donors. A total of 268 patients with aGVHD who were treated with systemic steroids were included. Patients were randomly divided into training (n=180) and validation sets (n=88). Clinical risk factors were also evaluated. In the training set, 85 (47.2%) developed SR aGVHD. Gastrointestinal involvement (P<0.0001) and donor genotypes of IL6 (rs1800797; P=6.2 × 10(-4)) and IFNG (rs2069727; P=4.4 × 10(-4)) were significant risk factors. Scores were assigned to the above risk factors. Patients were divided into low (score 0, n=74) vs high risk (scores 1-3; n=106) in risk model. Higher incidence of SR aGVHD was noted in the high risk (61.3%) vs the low-risk group (27%; P<0.0001, odds ratio (OR) 4.28). Predictive effect of risk model was replicated in the validation set (P=0.0045, OR 3.74). This risk model was associated with response to therapy, overall and GVHD-specific survival and non-relapse mortality. Our study suggested that this risk model could identify patients at high risk of SR aGVHD with donor genotype of IL6 (rs1800797) and IFNG (rs2069727) along with gastrointestinal involvement of aGVHD.

Indexed as

GenotypeGraft vs Host DiseaseModels, BiologicalPolymorphism, Single NucleotideUnrelated DonorsAcute DiseaseAgedAged, 80 and overDisease-Free SurvivalFemaleHumansIncidenceInterferon-gammaInterleukin-6MaleMiddle AgedIFNG protein, humanIL6 protein, humanInterferon-gammaInterleukin-6

Identifiers

PMID25774595
OpenAlexW2001608123

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.