Evidence map›Paper›PMID 40663303›Full record

ReviewInternational ophthalmology2025

Acupuncture for retinitis pigmentosa: a comprehensive review.

Kai Wu, Yunfeng Yu, Rong Hu, Canming Xie, Xiaolei Yao

Abstract readReview
PubMed Publisher
In one paragraph

Review in International ophthalmology, 2025. 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

5 authors.

Kai WuDepartment of Ophthalmology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.ORCID http://orcid.org/0009-0005-0919-9380
Yunfeng YuGraduate School, Hunan University of Chinese Medicine, Changsha, China.ORCID http://orcid.org/0000-0002-7309-5608
Rong HuDepartment of Ophthalmology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.ORCID http://orcid.org/0000-0002-7154-1416
Canming XieDepartment of Ophthalmology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.ORCID http://orcid.org/0009-0003-1688-1746
Xiaolei YaoDepartment of Ophthalmology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China. 310401@hnucm.edu.cn.ORCID http://orcid.org/0000-0003-0680-9698

Funding

the Discipline Construction Project "Jiebangguashuai" of Hunan University of Chinese Medicine No. 22JBZ029
6 · The paper itself

Abstract

No notable developments in the existing therapeutic approaches for retinitis pigmentosa (RP) exist to date, leaving many patients seeking alternative treatments. Among these alternatives, acupuncture has gained increasing popularity among physicians due to its perceived effectiveness. Acupuncture has been applied in the treatment of RP and has achieved good therapeutic effects, as reflected in the improvement of vision. However, the mechanisms underlying the efficacy of acupuncture in treating RP remains unclear. This study suggests that acupuncture mainly achieves the goal of treating RP by inhibiting photoreceptor cell death, improving retinal blood flow status, and enhancing the corresponding brain function. Furthermore, this study delineated the efficacy, safety, and prospective avenues of acupuncture in the treatment of RP. We believe that acupuncture as an adjuvant therapy for RP has a certain potential; in the future, a combination of molecular biology and multi-center clinical studies is required to further verify its efficacy and optimize treatment plans.

Indexed as

Acupuncture TherapyRetinitis PigmentosaHumansVisual AcuityAcupunctureEfficacyMechanismPhotoreceptor cellsRetinitis pigmentosaSafety

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.