TREATMENT FOR CONJUNCTIVOCHALASIS: A COMBINED APPROACH UTILIZING RADIOFREQUENCY CAUTERIZATION AND THERMALIDTM PROCEDURE
Bibliographic record
Abstract
BackgroundDry Eye Disease (DED) and related ocular surface diseases have multiple etiologies, but two of the most prevalent are Meibomian Gland Dysfunction (MGD) and Conjunctivochalasis (CCH). This study examines a customizable two-step approach utilizing radiofrequency to treat these two commonly coexisting condi-tions and provide patients with relief from DED signs and symptoms.
 Study DesignAn IRB approved retrospective chart review of 25 consecutively treated patients was conducted. Patients were included if they presented with DED symptoms and were treated with a combination treatment approach to improve both MGD and CCH, with pre- and post-treatment dry eye metrics outlined below. Follow-up visit information was compared to pre-treatment baseline to evaluate the efficacy and safety of treatment.
 ResultsStatistically significant results were observed in a decrease in symptoms as evaluated by the primary endpoints of the Standard Patient Evaluation of Eye Dryness (SPEED) questionnaire and an increase in the number of Meibomian Glands Yielding Liquid Secretion (MGYLS). Tear Meniscus Height also saw statistically significant improvement while Non-invasive Tear Break-Up Time (NTBUT) and Schirmer’s saw minor progress. Clinical evaluation and ocular surface photographs showed marked improvement in CCH with minimal observed side effects during post-operative follow-up visits.
 ConclusionA two-step approach utilizing a radiofrequency device to treat dry eye symptoms provides significant clinical improvement and symptomatic relief for a broad spectrum of patients who had received a variety of prior treatments for DED.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".