Evidence map›Paper›PMID 41948349›Full record

ReviewFrontiers in immunology2026

From concept to practice: intra-articular photobiomodulation for knee osteoarthritis.

Hao Chen, Feifei Gao, Yu Luo, Rui Wang, Arum Dwijayanti Niken, Zhifang Xu, Yi Ding, Yi Guo

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

8 authors.

Hao Chen *Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Feifei Gao *Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yu LuoResearch Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Rui WangResearch Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Arum Dwijayanti NikenResearch Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Zhifang XuResearch Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yi DingInstitute of Photoelectronic Thin Film Devices and Technology, Nankai University, Tianjin, China.
Yi GuoResearch Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee osteoarthritis (KOA) is a prevalent degenerative joint disease worldwide. Current treatments primarily offer only symptomatic relief and lack disease-modifying efficacy. Photobiomodulation therapy (PBMT) has shown potential in modulating cellular metabolism and inflammation to alleviate KOA symptoms; however, its conventional transcutaneous delivery is significantly limited by inadequate tissue penetration and energy attenuation, leading to inconsistent clinical outcomes. To overcome these limitations, this review proposes an innovative therapeutic paradigm: intra-articular PBM. This approach involves the minimally invasive placement of miniaturized light sources-such as fibre-integrated acupuncture needles or micro-LEDs-directly into the joint cavity, enabling precise,

Indexed as

Low-Level Light TherapyOsteoarthritis, KneeAnimalsHumansanti-inflammationintra-articular therapyknee osteoarthritisoptical fibre acupuncturephotobiomodulation

Identifiers

PMID41948349
PMCPMC13050707

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.