Evidence map›Paper›PMID 29622549›Full record

ReviewBlood2018

Biomarkers for posttransplantation outcomes.

Sophie Paczesny

Abstract readReview
In one paragraph

Review in Blood, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

  1. Pooled it
  2. Phase II Trial of Costimulation Blockade With Abatacept for Prevention of Acute GVHD.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. A donor PD-1Signal transduction and targeted therapy · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. The level of Tim-3+CD8+ T cells can serve as a potential marker for evaluating the severity of acute graft-versus-host disease after haplo-PBSCT.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Article
  20. 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

1 author.

Sophie PaczesnyDepartment of Pediatrics, Department of Microbiology Immunology, and Melvin and Bren Simon Cancer Center, School of Medicine, Indiana University, Indianapolis, IN.ORCID 0000-0001-5571-2775

Funding

Translating Novel Drug-Targetable Biomarkers to Treat Graft versus Host DiseaseR01CA168814 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI PACZESNY, SOPHIE · 2013 to 2024
$3.0M
Bridging Pediatric and Adult Biomarkers of Graft-Versus-Host-DiseaseR01HD074587 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI PACZESNY, SOPHIE, RENBARGER, JAMIE L · 2013 to 2017
$2.4M
Biomarkers for risk of chronic Graft-Versus-Host Disease occurrenceR21HL139934 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI ROWAN, COURTNEY · 2017 to 2018
$249k
NCI NIH HHS R01 CA168814NHLBI NIH HHS R21 HL139934NICHD NIH HHS R01 HD074587
6 · The paper itself

Abstract

During the last decade, the development of biomarkers for the complications seen after allogeneic hematopoietic stem cell transplantation has expanded tremendously, with the most progress having been made for acute graft-versus-host disease (aGVHD), a common and often fatal complication. Although many factors are known to determine transplant outcome (including the age of the recipient, comorbidity, conditioning intensity, donor source, donor-recipient HLA compatibility, conditioning regimen, posttransplant GVHD prophylaxis), they are incomplete guides for predicting outcomes. Thanks to the advances in genomics, transcriptomics, proteomics, and cytomics technologies, blood biomarkers have been identified and validated for us in promising diagnostic tests, prognostic tests stratifying for future occurrence of aGVHD, and predictive tests for responsiveness to GVHD therapy and nonrelapse mortality. These biomarkers may facilitate timely and selective therapeutic intervention. However, such blood tests are not yet available for routine clinical care. This article provides an overview of the candidate biomarkers for clinical evaluation and outlines a path from biomarker discovery to first clinical correlation, to validation in independent cohorts, to a biomarker-based clinical trial, and finally to general clinical application. This article focuses on biomarkers discovered with a large-scale proteomics platform and validated with the same reproducible assay in at least 2 independent cohorts with sufficient sample size according to the 2014 National Institutes of Health consensus on biomarker criteria, as well as on biomarkers as tests for risk stratification of outcomes, but not on their pathophysiologic contributions, which have been reviewed recently.

Indexed as

BiomarkersGenomicsHematopoietic Stem Cell TransplantationProteomicsBiotechnologyClinical Trials as TopicGraft vs Host DiseaseHumansProteomeReproducibility of ResultsTranscriptomeTreatment OutcomeBiomarkersProteome

Identifiers

PMID29622549
PMCPMC5958654

What Socratic 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 Socratic graph.