Mania in a Patient With Multiple Myeloma After Using Bortezomib
Bibliographic record
Abstract
Multiple myeloma (MM) is caused by a clonal proliferation of malignant plasma cells and ranks the second most frequent malignancy of hematology. Despite emerging intensive therapies including new agents and high-dose treatment with stem-cell transplantation, MM still remains an incurable neoplastic disease. Bortezomib was the first proteasome inhibitor (PI) which can improve response rates and overall survival in both newly diagnosed and recurrent MM patients with few adverse effects. The patient was a 61-year-old woman with MM who suffered from mania after initially receiving chemotherapy regimen of PTD (bortezomib, thalidomide, dexamethasone). The regimen was forced to stop due to the severe adverse effect. Then the symptoms were relieved and the patient was given VAD (vincristine, adriamycin, dexamethasone) regimen, and mania was never performed again. It has not been shown that bortezomib can lead to mania in MM patients in the introduction of the drug. Timely detection, immediately stopping related drugs and treating the primary disease actively are key steps for improvement. Poor psychosocial state is another crucial factor which ought to be taken into account in the prevention and treatment of mania occurrence. J Med Cases. 2014;5(12):627-630 doi: http://dx.doi.org/10.14740/jmc1979w
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".