Evidence map›Paper›PMID 42186253›Full record

ReviewEuropean journal of oral sciences2026

Animal models of chronic graft-versus-host disease with oral involvement: A review.

Shuqian Wang, Qiaozhi Jiang, Renchuan Tao

Abstract readReview
In one paragraph

Review in European journal of oral sciences, 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

3 authors.

Shuqian WangDepartment of Periodontal and Oral Medicine, College of Stomatology, Guangxi Medical University, Nanning, P. R. China.ORCID https://orcid.org/0009-0003-2406-3540
Qiaozhi JiangDepartment of Periodontal and Oral Medicine, College of Stomatology, Guangxi Medical University, Nanning, P. R. China.ORCID https://orcid.org/0000-0001-7908-8583
Renchuan TaoDepartment of Periodontal and Oral Medicine, College of Stomatology, Guangxi Medical University, Nanning, P. R. China.

Funding

First-class discipline innovation-driven talent program of Guangxi Medical UniversityGuangxi Young Elite Scientist Sponsorship Program GXYESS2025095Key Project of Guangxi Natural Science Foundation 2023GXNSFDA026018Youth Science Foundation Project of Guangxi Natural Science Foundation 2024GXNSFBA010284
6 · The paper itself

Abstract

Chronic graft-versus-host disease (cGVHD) remains a significant complication following allogeneic hematopoietic stem cell transplantation, with the oral cavity being one of the most frequently affected sites. Oral cGVHD manifests mucosal inflammation, salivary gland dysfunction, and fibrosis, all of which substantially impair patients' quality of life. To date, research efforts have predominantly focused on clinical investigations, with relatively limited exploration of animal models for in vivo studies, despite animal models playing a pivotal role in deciphering the pathobiology of cGVHD and developing therapeutic strategies. This review synthesizes the classification, modeling methodologies, and pathological characteristics of systemic GVHD animal models, with particular emphasis on the phenotypic manifestations of oral involvement. By critically assessing the strengths and limitations of murine, rat, canine, and nonhuman primate models, this article aims to provide a comprehensive narrative framework for selecting appropriate animal models in future in vivo studies of oral cGVHD.

Indexed as

Disease Models, AnimalGraft vs Host DiseaseHematopoietic Stem Cell TransplantationMouth DiseasesAnimalsChronic DiseaseHumansanimal modelshematopoietic stem cell transplantationoral cavitypathology

Identifiers

PMID42186253
PMCPMC13584654

What OpenQuestion holds

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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.