Clinical Resolution of Red Cell Aplasia Associated del 17p Multiple Myeloma, When Treated With Bortezomib and Dexamethasone
Bibliographic record
Abstract
Red cell aplasia has been rarely described in association with multiple myeloma. We present a case of a 79-year-old female, who was initially diagnosed with iron deficiency anemia, which did not improve with iron supplementation and required blood transfusions. Bone marrow biopsy showed red cell aplasia associated with kappa light chain multiple myeloma with 14.8% plasma cells. Further tests showed 0.35 g/dL M protein, and kappa/lambda ratio was 131.84. Cytogenetic showed deletion 13q, deletion 17p, loss of 1p and gain of chromosome 5. Multiple myeloma directed treatment with bortezomib and dexamethasone was initiated. Patient had clinical resolution of anemia and did not require further blood transfusions. This is an intriguing case of red cell aplasia associated with poor risk multiple myeloma (del 17p), which showed clinical improvement in anemia with bortezomib-based therapy. This case highlights the role of clonal plasma cells proliferation in the pathogenesis of red cell aplasia as myeloma directed treatment helped patient to become transfusion independent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".