REMISSION OF NONPARANEOPLASTIC AUTOIMMUNE RETINOPATHY AFTER MINIMAL STEROID TREATMENT
Bibliographic record
Abstract
PURPOSE: To describe the clinical findings in a patient demonstrating recovery from nonparaneoplastic autoimmune retinopathy after a minimal course of steroid treatment. METHODS: Clinical presentation was documented, and paraclinical tests were obtained using Humphrey automated perimetry for visual fields, Western blotting for antiretinal antibodies, and electroretinography for evaluation of rod and cone function. RESULTS: Initial presentation revealed marked visual field deficits, electroretinographic dysfunction, and the presence of α-enolase autoantibodies. After a brief course of oral corticosteroids, the patient demonstrated improvement in visual fields, disappearance of α-enolase autoantibodies, partial recovery of the cone on-response, and complete recovery of the rod response. CONCLUSION: This case is distinguished from previous reports by the rapidity and degree of recovery, the brevity of treatment required, and the unique electroretinographic recovery pattern with concomitant disappearance of α-enolase autoantibodies. These findings suggest a pathologic role for α-enolase autoantibodies in autoimmune rod bipolar cell dysfunction. Identification of other cases exhibiting such improvements and associated autoantibody activity may expand our understanding of nonparaneoplastic autoimmune retinopathy disease pathogenesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".