Evidence map›Paper›PMID 38803033›Full record

ArticleCell proliferation2024

Tissue specific stem cell therapy for airway regeneration.

Dan Bi Park, Jae Yoon Lee, Sung Won Kim, Do Hyun Kim

Abstract read
In one paragraph

Article in Cell proliferation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Optimizing Human Nasal Turbinate Stem Cell Dosage for the Effective Treatment of Empty Nose Syndrome.Journal of rhinology : official journal of the Korean Rhinologic Society · 2025
    Article
  2. 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

4 authors.

Dan Bi ParkPostech-Catholic Biomedical Engineering Institute, College of Medicine, The Catholic University of Korea, Seoul, South Korea.ORCID https://orcid.org/0009-0006-1223-9141
Jae Yoon LeeDepartment of Otolaryngology-Head and Neck Surgery, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.ORCID https://orcid.org/0000-0003-4973-0859
Sung Won KimDepartment of Otolaryngology-Head and Neck Surgery, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Do Hyun KimDepartment of Otolaryngology-Head and Neck Surgery, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.

Funding

Korean Fund for Regenerative Medicine 23C0121L1National Research Foundation of Korea RS-2023-00209494
6 · The paper itself

Abstract

Secondary atrophic rhinitis (AR), a consequence of mucosal damage during nasal surgeries, significantly impairs patient quality of life. The lack of effective, lasting treatments underscores the need for alternative therapeutic strategies. A major impediment in advancing research is the scarcity of studies focused on secondary AR. Our study addresses this gap by developing an animal model that closely mirrors the histopathological changes observed in patients with secondary AR. These changes include squamous metaplasia, goblet cell hyperplasia, submucosal fibrosis, and glandular atrophy. Upon administering human nasal turbinate stem cells embedded in collagen type I hydrogel in these models, we observed ciliary regeneration. This finding suggests the potential therapeutic benefit of this approach. Our animal models not only emulate the clinical manifestations of secondary AR but also serve as valuable tools for evaluating the efficacy of cell-based biotechnological interventions.

Indexed as

RegenerationStem Cell TransplantationAnimalsDisease Models, AnimalHumansNasal MucosaRhinitisStem CellsTurbinates

Identifiers

PMID38803033
PMCPMC11471432

What OpenQuestion holds

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LicenceCC BY
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.