Xdemvy<sup>TM</sup> (Lotilaner Ophthalmic Solution) 0.25% Topical Solution for the Treatment of <i>Demodex</i> Blepharitis.
Bibliographic record
Abstract
blepharitis. Patients were assigned to receive either lotilaner 0.25% topical solution or vehicle (solution that did not contain lotilaner as an active ingredient) twice daily for 6 weeks. On day 43, lotilaner group demonstrated primary efficacy in achieving collarette cure ([collarette grade 0], Saturn-1: study group 44% [92/209], vehicle 7.4% [15/204]; Saturn-2: study group 56% [108/193], vehicle 12.5% [25/200]). Secondary efficacy was achieved by eradication of mite ([0 mite/lash], Saturn-1: study group 67.9% [142/209], vehicle 17.6% [36/304]; Saturn-2: study group 51.8% [99/193], vehicle 14.6% [29/200]), composite cure ([grade 0 collarette as well as grade 0 erythema], Saturn-1: study group 13.9% [29/209], vehicle 1.0% [2/204]; Saturn-2: study group 19.2% [37/193], vehicle 4% [8/200]), and erythema cure ([grade 0 erythema], study group 19.1% [40/209], vehicle 6.9% [14/204]; Saturn-2: study group 31.1% [60/193], vehicle 9.0% [18/199]). The adverse events were mild, with the most common being pain at instillation site. The recommended regimen for lotilaner 0.25% solution is one drop in each eye twice daily for 6 weeks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".