Alemtuzumab Induced Thyroid Disease in Multiple Sclerosis: A Review and Approach to Management
Bibliographic record
Abstract
Alemtuzumab, an anti-CD52 monoclonal antibody, was recently approved for treatment of MS in Canada, having shown to significantly reduce relapses and disability in patients, particularly those who relapsed despite first line treatment. Offsetting its benefit however, is the development of novel secondary autoimmune disease, particularly affecting the thyroid gland in up to 36% of patients. The incidence of Alemtuzumab induced thyroid dysfunction (AITD) will likely rise as alemtuzumab becomes more widely used for treating MS. We review the clinical and investigational cues that help delineate the aetiology and management of thyrotoxicosis and hypothyroidism in ATID. AITD can be easily managed and we present a simple approach for its evaluation and management by neurologists that should be implemented prior to considering a referral to an internist or endocrinologist for further opinion or treatment.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".