Ocular comfort assessment of lifitegrast ophthalmic solution 5.0% in OPUS-3, a Phase III randomized controlled trial
Bibliographic record
Abstract
PURPOSE: To evaluate ocular comfort of lifitegrast ophthalmic solution 5.0% among patients with dry eye disease (DED) in the OPUS-3 trial. METHODS: OPUS-3 was a multicenter, randomized, double-masked, placebo-controlled study. Adults with DED and recent artificial tear use were randomized 1:1 (lifitegrast:placebo) to ophthalmic drops twice daily for 84 days. On days 0 (baseline), 14, 42, and 84, drop comfort score (scale, 0-10; 0 = very comfortable, 10 = very uncomfortable) was measured at 0, 1, 2, and 3 minutes postinstillation. If the score was >3 at 3 minutes, assessment was repeated at 5, 10, and 15 minutes until score ≤3. Ocular treatment-emergent adverse events (TEAEs) were assessed. RESULTS: Overall, 711 participants were randomized (n=357 received lifitegrast; n=354 received placebo). Drop comfort scores for lifitegrast-treated participants improved within 3 minutes of instillation (mean scores on day 84 for both study and fellow eyes: instillation: lifitegrast, 3.4, placebo, 1.0; 3 minutes: lifitegrast, 1.5, placebo, 0.7). The majority (64%-66%) of participants had scores <3 within 3 minutes postinstillation on days 14, 42, and 84. In participants with scores >3 at 3 minutes, the mean score in the lifitegrast group was similar to or better than that in the placebo group at 5, 10, or 15 minutes postinstillation. Lifitegrast appeared to be well tolerated, with ocular TEAEs rarely leading to discontinuation. CONCLUSION: In OPUS-3, lifitegrast appeared to be well tolerated and drop comfort scores approached placebo levels by 3 minutes postinstillation.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".