Neuro-ophthalmic manifestations of autoimmune disorders: diagnostic pearls & pitfalls
Bibliographic record
Abstract
PURPOSE OF REVIEW: The purpose of this review is to highlight a clinical-anatomical approach to localizing neuro-ophthalmic manifestations of associated autoimmune disorders. RECENT FINDINGS: Our understanding of autoimmune conditions has changed considerably over recent years, particularly with the emergence of novel autoantibodies. Cardinal neuro-ophthalmic signs and symptoms of antibody-mediated autoimmune disorders have been well characterized; knowledge thereof may be the first step towards an accurate diagnosis. SUMMARY: A thorough history, further refined by a comprehensive examination are cornerstones to disease localization in clinical medicine. Taken together, these essential steps both guide investigations and facilitate early recognition of autoimmune disorders. From a neuro-ophthalmic perspective, it is important to understand heralding signs and symptoms of autoimmune syndromes, avoid cognitive errors, and remain mindful of common diagnostic pitfalls to optimize care. VIDEO ABSTRACT: http://links.lww.com/COOP/A61.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".