Change in visual acuity and retinal structures following Repository Corticotropin Injection (RCI) therapy in patients with acute demyelinating optic neuritis: Improvement in low contrast visual acuity in both affected and contralateral eyes in a single-armed open-label study
Bibliographic record
Abstract
BACKGROUND: Current treatments after an episode of optic neuritis have limited success protecting the retinal nerves and restoring visual function. OBJECTIVE: To assess the effectiveness of Repository Corticotropin Injection (RCI) after the onset of optic neuritis. METHODS: Twenty-four adults were treated with RCI within 2 weeks of symptom onset. Seven exams over 400 days measured low- and high-contrast visual acuity (LCVA and HCVA) and spectral domain optical coherence tomography of the retinal structures. Differences between and among affected and contralateral eyes were assessed using linear mixed models. RESULTS: HCVA improved in the affected eye over the study (36.2 letters to 52.5), and LCVA improved in both the affected eye (1.8 letters to 6.8) and the contralateral eye (8.3 letters to 11.7). These functional improvements occurred concurrent to a thinning in the papillomacular bundle and the ganglion cell, inner plexiform, and retinal nerve fiber layers, while the inner nuclear, outer plexiform, outer nuclear, and photoreceptor layers thickened. CONCLUSION: The eyes affected by the ON and treated with RCI improved in both LCVA and HCVA, and unexpectedly LCVA improved in the contralateral eye as well. This functional improvement was mirrored by structural changes in the retina. This study lays the groundwork for future studies to explore potential neuro-protective and neuro-restorative effects of RCI.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".