Scrotal and Orbital Involvement in Extramedullary De-differentiated Multiple Myeloma
Bibliographic record
Abstract
A 71-year-old Indian male presented with a five-month history of progressive bilateral testicular swelling and swelling of the left orbit or one month duration. Nine months ago, he had undergone four cycles of chemotherapy (bortezomib, cyclophosphamide, and dexamethasone) for an immunoglobulin A (IgA) lambda multiple myeloma (3.8 grams per decilitre [g/dL]). This was stage 3 according to the International Staging System (ISS) and had no adverse cytogenetics. The patient had undergone six more cycles of treatment prior to presentation. Physical examination revealed gross distension of the left orbital tissues with violaceous colouring ( Figure 1A ). The abdomen was distended with ascites. Genitourinary examination revealed testicular enlargement ( Figure 1B ). There was no erythema or warmth associated with either area. Laboratory tests failed to demonstrate monoclonal paraproteinemia, but his lactate dehydrogenase (LDH) level was elevated at 2068 units per litre (units/L). Abdominal paracentesis revealed a fluid cell count of 16,180 106/L and a fluid LDH of 10,591 units/L. Cytology showed CD138 positivity, 80% for Ki-67, and lambda light chain restriction. These findings supported a diagnosis of de-differentiated extramedullary multiple myeloma. The prognosis and available management plans were discussed with the patient, and he was discharged to the community to be placed in the care of the palliative care team per his wishes.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".