Evidence map›Paper›PMID 40822848›Full record

ReviewStem cells international2025

Progress and Prospects in the Treatment of Lacrimal Gland Dysfunction Diseases: From Traditional Treatment Methods to Stem Cell and Organoid Therapies.

Xiaona Chen, Shixu Li, Yongxin Zhang, Lin Ye

Abstract readReview
In one paragraph

Review in Stem cells international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Xiaona ChenShenzhen Eye Hospital, Shenzhen Eye Hospital Affliated to Jinan University, Shenzhen 518040, China.
Shixu LiDepartment of Ophthalmology, The Second Hospital of Shandong University, Jinan, China.
Yongxin ZhangShenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen 518040, China.
Lin YeShenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen 518040, China.ORCID https://orcid.org/0000-0002-0350-3020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lacrimal gland (LG) dysfunction diseases are a type of disorder caused by various etiologies that damage the LG tissue, reducing lacrimal fluid secretion, triggering aqueous-deficient dry eye (ADDE), and causing a series of complications like keratoconjunctivitis sicca, potentially threatening vision. Our review summarizes the limitations and new progress of traditional treatment methods for LG dysfunction diseases. Meanwhile, we conduct in-depth analyses closely centered on the two emerging and cutting-edge research hotspots, namely stem cell therapy and organoid therapy. We have comprehensively evaluated the current research status regarding various stem cells, their derived extracellular vesicles, and LG organoid transplantation, further discussed the existing deficiencies, and subsequently put forward the prospective directions for future research. These include developing ophthalmic preparations of extracellular vesicles and LG stem cells or searching more efficient drug delivery systems, as well as culturing LG organoids that are highly similar to human lacrimal glands (LGs) in both function and microstructure through magnetic three-dimensional (3D) bioprinting technology and microfluidic 3D bioprinting technology.

Indexed as

lacrimal gland (LG) dysfunctionorganoid therapystem cell therapythree-dimensional (3D) bioprinting technologytraditional treatment methods

Identifiers

PMID40822848
PMCPMC12356677

What Socratic holds

Textmetadata
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 Socratic graph.