Extramedullary plasmacytoma of the uterine cervix arising in an asymptomatic 46-year-old female
Bibliographic record
Abstract
An extramedullary plasmacytoma is a rare type of plasma cell tumour that can be found in soft tissues throughout the body. The most common location for an extramedullary plasmacytoma is in the head and neck region. Few case reports have previously documented patients with an extramedullary plasmacytoma within the female genital tract. We report a case of a healthy and asymptomatic 46-year-old female who presented to Colposcopy Clinic with a finding of low-grade squamous intraepithelial lesion seen on a routine Pap smear. She was found to have a cervical polyp that was excised. Pathology revealed diffuse sheets of atypical plasma cells with lambda light chain restriction. She was referred to Hematology for extensive work-up as the pathology finding was concerning for a plasma cell neoplasm. Staging investigations, including bone marrow biopsy, skeletal survey, whole body PET-CT scan, serum protein electrophoresis, and serum free light chain testing, were all negative. Surgical resection with a hysterectomy was recommended as the most appropriate course of management. The treatment approach is consistent with guidelines outlined in the literature, whereby extramedullary plasmacytomas, which arise outside of the head and neck region and have clear margins, should undergo surgical resection. Extramedullary plasmacytomas carry a risk of progressing to systemic disease, such as multiple myeloma, making it crucial that these patients be followed with routine surveillance to achieve the most optimal long term survival outcome.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".