A Randomized, Double-Masked Clinical Trial of Optisol-GS vs Chen Medium for Human Corneal Storage
Bibliographic record
Abstract
OBJECTIVE: To determine whether the clinical outcome of corneal transplantation performed with tissue stored in Chen Medium (CM; Chen Laboratories, Phoenix, Md) is superior to that of Optisol-GS (Chiron Ophthalmics, Irvine, Calif). DESIGN: Randomized, double-masked trial. PARTICIPANTS AND SETTING: Ninety patients undergoing corneal transplantation at a tertiary center. INTERVENTION: Donor cornea pairs were stored, one in CM and the other in Optisol-GS, transplanted, and followed up for 3 months. MAIN OUTCOME MEASURES: Endothelial cell loss (ECL) at 3 months. Secondary outcomes were thickness and epithelialization at days 1, 7, 30, and 90, as well as primary and secondary graft failure. RESULTS: Mean percentages of ECL 3 months after surgery were similar for corneas stored in Optisol-GS and corneas stored in CM. The 95% confidence interval (CI) for the difference was -3.4% to 13.2%. Covariate-adjusted 95% CI was -6.1% to 9.1%. Pachymetry values were similar in the 2 treatment groups. Eighty-eight percent of the corneas stored in each medium achieved epithelialization of 75% to 100% of the surface area within 1 week after transplantation. No primary donor failures occurred in either group. One graft that was preserved in CM failed during the study period. CONCLUSION: The clinical outcomes of corneal transplantation with tissue that was preserved in CM were similar to those of grafts preserved in Optisol-GS.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".