Evidence mapPaperPMID 40770824Full record

SynthesisSystematic reviews2025

Effects of photobiomodulation on multiple health outcomes: an umbrella review of randomized clinical trials.

Yejun Son, Hyeri Lee, Seungyeong Yu, Hyeon Jin Kim, Jaeyu Park, Selin Woo, Hayeon Lee, Guillaume Fond, Laurent Boyer, Masoud Rahmati and 6 more

Abstract readSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
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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

16 authors.

Yejun Son *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyeri Lee *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Seungyeong Yu *Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, 123, Cheomdangwagi-Ro, Buk-Gu, Gwangju, Gwangju, 61005, South Korea.
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Guillaume FondResearch Centre On Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.
Laurent BoyerResearch Centre On Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.
Masoud RahmatiResearch Centre On Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Guillermo F López SánchezDepartment of Public Health Sciences, Division of Preventive Medicine and Public Health, School of Medicine, University of Murcia, Murcia, Spain.
Elena DragiotiResearch Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece.
Jiseung Kang *Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.
Tae Kim *Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, 123, Cheomdangwagi-Ro, Buk-Gu, Gwangju, Gwangju, 61005, South Korea. tae-kim@gist.ac.kr.
Dong Keon Yon *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea. yonkkang@gmail.com.ORCID 0000-0003-1628-9948

Funding

ITRC (Information Technology Research Center) support program IITP-2024-RS-2024-00438239Ministry of Science and ICT, South Korea NRF-2022R1A2C3009749
6 · The paper itself

Abstract

backgroundPhotobiomodulation (PBM) is a non-invasive therapy increasingly used for pain, inflammation, and tissue repair, yet a comprehensive synthesis of its effectiveness across multiple health outcomes remains lacking. Herein, we aimed to systematically assess the clinical effects and strength of evidence for PBM across a wide range of health outcomes using data from existing meta-analyses of randomized controlled trials (RCTs).

methodsWe conducted an umbrella review of meta-analyses of RCTs, searching five databases up to December 8, 2023. Two reviewers independently assessed methodological quality using AMSTAR 2 and evaluated certainty of evidence using a modified GRADE framework. Pooled effect sizes were recalculated as equivalent standardized mean differences (eSMD) with 95% confidence intervals (CI). The study was registered with PROSPERO (CRD42023495502).

resultsA total of 15 meta-analyses encompassing 204 RCTs and over 9000 participants were included, covering 35 health endpoints across 15 disease conditions. PBM showed significant effects for 12 outcomes, with moderate certainty of evidence supporting improvements in burning mouth syndrome (pain reduction, eSMD - 0.92 [95% CI - 1.38 to - 0.46]), knee osteoarthritis (disability, 0.65 [0.14 to 1.15]), fibromyalgia (fatigue, 1.25 [0.63 to 1.87]), androgenetic alopecia (hair density, 1.32 [1.00 to 1.63]), and cognitive function (0.49 [0.14 to 0.84]). Most other outcomes exhibited low or very low certainty due to heterogeneity or small-study effects. P-curve and funnel plot analyses indicated evidential value for several outcomes, though potential publication bias was identified in some.

conclusionsPBM appeared beneficial for some health conditions, such as the strongest support for fibromyalgia, osteoarthritis-related disability, and cognitive impairment. However, given the overall low-to-moderate certainty of evidence for most endpoints, further high-quality trials and standardization of PBM protocols are warranted before widespread clinical adoption.

Indexed as

Low-Level Light TherapyHumansOsteoarthritis, KneeRandomized Controlled Trials as TopicHealth outcomesLow-level light therapyPhotobiomodulationRandomized controlled trialsUmbrella review

Identifiers

PMID40770824
PMCPMC12326686

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.