Evidence map›Paper›PMID 41389175›Full record

ReviewInternational journal of hematology2026

Biomarker-driven strategies and challenges in acute graft-versus-host disease clinical trials.

Nikolaos Katsivelos, Ioannis E Louloudis, Nikolaos Spyrou, Yu Akahoshi

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of hematology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Nikolaos KatsivelosDepartment of Medicine, Jacobi Medical Center/North Central Bronx Hospital, Albert Einstein College of Medicine, Bronx, NY, USA.
Ioannis E LouloudisIcahn School of Medicine at Mount Sinai, The Tisch Cancer Institute, New York, NY, USA.
Nikolaos SpyrouIcahn School of Medicine at Mount Sinai, The Tisch Cancer Institute, New York, NY, USA.
Yu AkahoshiDivision of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. akahoshiu@gmail.com.ORCID http://orcid.org/0000-0001-6825-9340

Funding

TUMOR VACCINES AND BONE MARROW TRANSPLANTATIONP01CA039542 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JOHN LEVINE · 1985 to 2026
$47.9M
NCI NIH HHS P01 CA039542
6 · The paper itself

Abstract

Acute graft-versus-host disease (GVHD) remains a major complication after allogeneic hematopoietic stem cell transplantation. Traditional risk stratification based on clinical symptoms provides only modest prognostic accuracy for treatment response and long-term outcomes. Several biomarkers have shown promise in improving predictive and prognostic precision. Biomarker-guided strategies can identify high-risk patients before extensive target organ damage occurs and low-risk patients who may benefit from lower-intensity treatment, thereby reducing GVHD-related organ injury and adverse effects such as infection and disease relapse. These approaches have facilitated more personalized treatment, with some studies reporting reduced infection rates and improved GVHD-related outcomes in appropriately selected populations. Biomarker-driven clinical trial designs represent a promising framework for developing risk-adapted GVHD management strategies; however, continued validation and refinement of biomarker algorithms is essential to optimize patient outcomes.

Indexed as

BiomarkersClinical Trials as TopicGraft vs Host DiseaseHematopoietic Stem Cell TransplantationAcute DiseaseHumansPrognosisTransplantation, HomologousBiomarkersAcute graft-versus-host diseaseBiomarkersClinical trials

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.