Anti-Myelin Associated Glycoprotein Polyneuropathy in a Patient With Lymphoma and its Resolution After Chemotherapy
Bibliographic record
Abstract
Anti-myelin associated glycoprotein (anti-MAG) antibody associated polyneuropathy is a chronic distal symmetric sensorimotor neuropathy. The rarity of this condition precludes establishment of a standard of care. It has been treated with steroids, intravenous immunoglobulin (IVIG) and Rituximab. We present a case of a 72 years old man presenting with 1 year history of neuropathic pain in lower extremities and hands bilaterally, right cervical lymphadenopathy on physical exam, and the anti-MAG antibody ELISA was positive. An excisional biopsy of the cervical lymph node showed diffuse large B cell lymphoma. The staging bone marrow examination did not show lymphoma involvement, the PET/CT did only demonstrated neck and mediastinal lymphadenopathy. The patient received four cycles of R-CHOP (Rituximab, Cyclophosphamide, Doxorubicin, Vincristine and Prednisone) for Stage IIA disease with complete response, and complete resolution of polyneuropathy after the first cycle of chemotherapy. The case report highlights the successful treatment of a rare presentation of anti-MAG polyneuropathy associated with early stage diffuse large B-cell lymphoma. J Med Cases. 2013;4(8):557-559 doi: https://doi.org/10.4021/jmc1399w
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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 | 0.002 | 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".