Evidence map›Paper›PMID 37213482›Full record

ArticleAdvances in radiation oncology

Photobiomodulation During Chemoradiation for Head and Neck Cancer: Effect on Mucositis, Weight Loss, and Feeding Tube Dependence.

Rebecca F Krc, Sarah A Singh, Wei Fang, Joshua S Weir

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. 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
1.3field-weighted citation impact, top 19% of its field
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, 5 citations in OpenAlex.

  1. Article
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 at 3 institutions in 1 country.

Rebecca F KrcDepartment of Radiation Oncology, University of Maryland, Baltimore, Maryland.
Sarah A SinghDepartment of Radiation Oncology, West Virginia University, Morgantown, West Virginia.
Wei FangWest Virginia Clinical and Translational Science Institute, West Virginia University Health Sciences, Morgantown, West Virginia.
Joshua S WeirWichita Radiological Group, Wichita, Kansas.
West Virginia University · USUniversity of Maryland, Baltimore · USWichita Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The standard therapeutic approach in head and neck cancer (HNC) involves multimodality therapy, including surgery, radiation therapy (RT), or chemoradiation therapy (CRT). Treatment complications (mucositis, weight loss, and feeding tube dependence [FTD]) can result in treatment delays, incomplete treatment, and decreased quality of life. Studies on photobiomodulation (PBM) have shown promising reductions in mucositis severity but with little quantitative supporting data. We compared complications for patients with HNC receiving PBM with those in patients who did not, hypothesizing that PBM improves mucositis severity, weight loss, and FTD. Methods and Materials: Medical records of 44 patients with HNC treated with CRT or RT from 2015 to 2021 were reviewed (22 PBM, 22 controls; median age, 63.5 years; range, 45-83 years). Between-group outcomes of interest included maximum mucositis grade, weight loss, and FTD 100 days after initiation of treatment. Results: Median RT doses were 60 Gy (PBM) and 66 Gy (control). Eleven patients treated with PBM received CRT; 11 received RT alone (median of 22 PBM sessions [range, 6-32]). Sixteen control group patients received CRT; 6 received RT alone. Median maximal mucositis grades were 1 in the PBM group and 3 in the control group ( Conclusions: PBM may have a role in decreasing complications related to RT and CRT for HNC, mainly mucositis severity.

Identifiers

PMID37213482
PMCPMC10196275
OpenAlexW4323654798

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.