Obinutuzumab Plus Chlorambucil in a Patient with Severe Myasthenia Gravis and Chronic Lymphocytic Leukemia
Bibliographic record
Abstract
Myasthenia gravis (MG) is an autoimmune disease of the neuromuscular junction, characterized by fatigable weakness of the extraocular, bulbar, and limb musculature; prevalence is estimated at 14 to 32 per 100,000 in North America. Chronic lymphocytic leukemia (CLL) is the most common type of leukemia in adults, resulting from clonal expansion of B-cells in blood, marrow, and secondary lymphoid tissues. The simultaneous presentation of MG and CLL is exceedingly rare. This article presents the case of 71-year-old man diagnosed simultaneously with MG and CLL. His MG was severe and refractory to treatment; therefore, a strategy of treating his coexisting CLL with obinutuzumab and chlorambucil was pursued. Following 6 cycles of obinutuzumab and chlorambucil, his CLL is in remission and his MG is almost entirely undetectable. This is the first case report describing the use of obinutuzumab, a novel anti-CD20 monoclonal antibody, in a patient with concurrent MG and CLL.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".