Evidence map›Paper›PMID 39670136›Full record

ReviewJournal of oral and maxillofacial pathology : JOMFP

Photobiomodulation therapy: Ushering in a new era in personalized supportive cancer care.

Ridham Varsani, Moiz Khan, Pranavi Nannuri, Praveen R Arany

Abstract readReview
In one paragraph

Review in Journal of oral and maxillofacial pathology : JOMFP. 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

4 authors.

Ridham VarsaniDepartment of Oral Biology, Surgery and Biomedical Engineering, University at Buffalo, Buffalo, NY, USA.
Moiz KhanDepartment of Oral Biology, Surgery and Biomedical Engineering, University at Buffalo, Buffalo, NY, USA.
Pranavi NannuriDepartment of Oral Biology, Surgery and Biomedical Engineering, University at Buffalo, Buffalo, NY, USA.
Praveen R AranyDepartment of Oral Biology, Surgery and Biomedical Engineering, University at Buffalo, Buffalo, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human body can utilize light for a broad range of pathophysiological responses, such as circadian rhythm, Vitamin D metabolism, and vision, among others. The therapeutic use of light has spanned many ancient health practices. Recent advances in using low-dose light therapy, termed photobiomodulation (PBM), have made tremendous progress in unravelling precise biological mechanisms and clinical dosimetry, enabling this treatment modality's clinical safety and effectiveness. The evidence for PBM has received its strongest endorsement via recent systematic reviews and meta-analyses recommending its routine use to address various acute and chronic side effects associated with cancer treatment. Carefully done studies have noted unequivocal evidence demonstrating its effectiveness in managing oral mucositis in patients undergoing radiotherapy for head and neck cancer, chemotherapy, or hematopoietic stem cell transplantation. This brief narrative review will explore the therapeutic benefits of PBM therapy, supported by recent research findings, to provide a comprehensive understanding of its potential in clinical settings. Additionally, the review will highlight our current understanding of molecular mechanisms underlying PBM and the importance of novel harmonized dosing that enables its optimal clinical implementation and utilization.

Indexed as

Cancer carelight therapyphotobiomodulationphotonic fluence

Identifiers

PMID39670136
PMCPMC11633914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.