Safety and Efficacy of BroadBand Intense Pulsed Light Therapy for Dry Eye Disease with Meibomian Gland Dysfunction
Bibliographic record
Abstract
Background: BroadBand light intense pulsed light (BBL-IPL) therapy has shown to reduce hordeolum and blepharitis frequency. This study aims to evaluate the efficacy and safety of BBL-IPL therapy in patients with dry eye disease (DED) from meibomian gland dysfunction (MGD). Methods: This is a retrospective, consecutive case series of 48 patients with DED from MGD who underwent BBL-IPL therapy from October 2016 to January 2019 at a single, outpatient clinic in Ontario, Canada. Clinical outcomes included first and average non-invasive keratograph tear break-up times (NIKBUT), bulbar redness (BR) scores, tear meniscus heights (TMH), visual acuity (VA) and meibograph grades. Patient-reported outcomes included the Canadian dry eye assessment (CDEA) questionnaire and patient subjective assessment (PSA) scores. Outcomes were measured at baseline and after completion of 4 monthly BBL-IPL sessions. Results: The mean severity of dry eye symptoms as measured by the CDEA and PSA decreased significantly from 19.78 ± 9.62 to 12.08 ± 7.40 ( p < 0.001) and from 7.65 ± 1.74 to 4.77 ± 2.03 ( p < 0.001), respectively. Twenty-five percent of patients reported no dry eye symptoms after treatment. The meibograph grade improved significantly in both eyes ( p < 0.001). Approximately 71.0% and 80.1% of patients had an improved meibograph grade in the right and left eye, respectively. Near-significant improvements were observed for BR scores and VA. There was also a trend towards improved first/average NIKBUT and TMH scores. No adverse events were noted. Conclusion: BBL-IPL appears to be an effective and safe treatment modality in improving dry eye symptoms and meibomian gland function in patients with DED from MGD. Keywords: BroadBand light, intense pulsed light, meibomian gland dysfunction, dry eye disease
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".