066 Clinical and imaging findings in MOG antibody positive patients presenting to Kings College Hospital
Bibliographic record
Abstract
We identified all patients testing positive for MOG antibodies at KCH and reviewed their clinical phenotype and imaging findings. 22 patients tested positive for MOG antibodies between Jan 2015 and Aug 2019 (11 female, mean age 39 (SD 18)). The majority of patients 15/22 presented with optic neuritis, 3 patients bilateral, 2 bilateral sequential. Other presentations included LETM (2), ADEM(2), brain stem syndrome (1), lower cord/conus syndrome (1) seizures (1). Mean logMar visual acuity at nadir in patients present- ing with an optic neuritis was 0.69 (SD 0.58). Mean logMar visual acuity at recovery was logMAR 0.1 (SD 0.54), 12/15 eyes had documented optic disc swelling. MRI brain was performed in 20 patients and was normal in 10, 6 had non-specific white matter changes the remainder had inflammatory brainstem and ADEM –like changes. MRI orbits was performed in 13 patients, 4 had bilateral optic nerve involvement and 5 had longitudinally extensive optic nerve lesions. Spinal cord imaging was performed in 9 patients, 2 had a LETM, 1 multifocal signal change and the remainder normal imaging. The cervical cord was the most frequently involved region of the spinal cord. 5 patients developed relapses (all optic neuritis), 3 relapses occurred off treatment. r.raftopoulos@ucl.ac.uk
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".