Clinical presentation of primary progressive multiple sclerosis 10 years after the incidental finding of typical magnetic resonance imaging brain lesions
Bibliographic record
Abstract
BACKGROUND: Subclinical multiple sclerosis (MS) has been identified incidentally at autopsy; apparently unaffected individuals with an affected twin have demonstrated magnetic resonance imaging (MRI) changes consistent with MS, and 'MRI relapses' are several times more common than clinical relapses. CASE DESCRIPTION: A 39-year-old, right-handed man underwent MRI and PET scanning in 1986 as a 'normal' control in a Parkinson's disease study, where his father was the proband. MRI indicated multiple areas of abnormal signal intensity in a periventricular and grey-white matter junction distribution. Repeated clinical evaluations over the next 10 years were unchanged until 1996, when he complained of progressive weakness of the right foot and clumsiness in the right hand. MRI now indicated a further area of high signal intensity in the right posterior cord at the level of C5/C6. There was mild pyramidal distribution weakness in the right leg with an extensor plantar response on the same side. Over the next five years there has been mild progression in weakness and fatigue and intermittent Lhermitte's phenomenon. At no stage has there been a history of relapse, cerebrospinal fluid examination was normal and evoked responses (visual and somatosensory) are normal. CONCLUSION: This case demonstrates the phenomenon of subclinical MS, unusually supported by prolonged clinical and MRI follow-up. The patient eventually became symptomatic nine years after MRI diagnosis and is following a primary progressive course. Although MRI is known to be sensitive in identifying subclinical 'attacks', the pattern illustrated here may actually be quite typical of primary progressive MS and is compatible with the later onset seen in this subgroup of patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".