Photobiomodulation Treatment with a Home-Use Device for COVID-19: A Randomized Controlled Trial for Efficacy and Safety
Bibliographic record
Abstract
Background: Photobiomodulation therapy (PBMT) using devices to deliver red and/or near-infrared light to tissues has shown promising effects in clinical settings for respiratory diseases, including potential benefits in managing symptoms associated with COVID-19. Objective: To determine if at-home self-administered PBMT for patients with COVID-19 is safe and effective. Methods: This was a randomized controlled trial (RCT) carried out at home during the COVID-19 pandemic (September 2020 to August 2021). The treatment group self-administered the Vielight RX Plus PBMT device (635 nm intranasal and 810 nm chest LEDs) and were monitored remotely. Eligible patients scored 4–7 (out of 7) for severity on the Wisconsin Upper Respiratory Symptom Survey (WURSS-44). Patients were randomized equally to Control group receiving standard-of-care (SOC) only or Treatment group receiving SOC plus PBMT. The device was used for 20 min 2X/day for 5 days and, subsequently, once daily for 30 days. The primary end-point was time-to-recovery (days) based on WURSS-44 question 1, “How sick do you feel today?”. Subgroup analysis was performed, and Kaplan–Meier and Cox Proportional Hazards analysis were employed. Results: One hundred and ninety-nine eligible patients (18–65 years old) were divided into two subgroups as follows: 136 patients with 0–7 days of symptoms at baseline and 63 patients with 8–12 days of symptoms. Those with 0–7 days of symptoms at baseline recovered significantly faster with PBMT. The median for Treatment group was 18 days [95% confidence interval (CI), 13–20] versus the Control group 21 days (95% CI, 15–28), p = 0.050. The treatment:control hazard ratio was 1.495 (95% CI, 0.996–2.243), p = 0.054. Patients with symptom duration ≥7 days did not show any significant improvement. No deaths or severe adverse events (SAEs) occurred in the Treatment group, whereas there was 1 death and 3 SAEs requiring hospitalization in the Control group. Conclusions: Patients with ≤7 days of COVID-19 symptoms recovered significantly faster with PBMT compared to SOC. Beyond 7 days, PBMT showed no superiority over SOC. Trial Registration: ClinicalTrials.gov NCT04418505.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".