Evidence map›Paper›PMID 40874238›Full record

ReviewInternational journal of general medicine2025

A Review of Acupuncture for the Treatment of Dry Eye Syndrome: Mechanisms, Efficacy, and Clinical Implications.

Ting Chen, Lu-Qi Feng, Ying Jin

Abstract readReview
In one paragraph

Review in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Ting ChenMedical School, Quzhou College of Technology, Quzhou, 324000, People's Republic of China.
Lu-Qi FengDepartment of Acupuncture, Quzhou Traditional Chinese Medicine Hospital, Quzhou, 324002, People's Republic of China.
Ying JinDepartment of Acupuncture, Quzhou Traditional Chinese Medicine Hospital, Quzhou, 324002, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dry eye disease (DED) is a prevalent ocular condition characterized by discomfort and vision impairment in affected individuals. This review discusses various etiologies of DED, including autoimmune, drug-induced, and mechanical factors, each with distinct underlying causes. Acupuncture, a traditional therapeutic modality, has garnered increasing attention in recent years as a potential complementary treatment for DED. Current clinical evidence demonstrates that acupuncture for DED, when performed by qualified practitioners following standardized protocols, exhibits favorable safety profiles with only mild and transient adverse reactions (eg, minor local bleeding, brief needling pain, or mild needle syncope) potentially occurring. This review provides a comprehensive analysis of recent studies investigating the underlying mechanisms, therapeutic efficacy, and clinical applications of acupuncture in the treatment of DED. Findings suggest that acupuncture enhances tear production, reduces ocular inflammation, and regulates nervous system function, offering a multifaceted approach to DED management. Clinically, acupuncture may reduce reliance on medications, thereby minimizing the risk of side effects and drug interactions. Additionally, it has the potential to improve patients' quality of life by alleviating discomfort, enhancing ocular health, and promoting overall well-being. These insights underscore the role of acupuncture as a complementary treatment and highlight its implications for improving patient outcomes and guiding future research in this field.

Indexed as

acupuncturedry eye diseaseefficacy assessmenttraditional Chinese medicinetreatment

Identifiers

PMID40874238
PMCPMC12379998

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.