Clinical Reasoning: A 72-Year-Old Woman With Rapidly Progressive Bilateral Hearing Loss
Bibliographic record
Abstract
A 72-year-old woman presented with rapidly progressive hearing loss and neuropsychiatric symptoms without other focal neurologic symptoms. Progressive sequential sensorineural hearing loss (SNHL) was demonstrated on serial audiology. A diagnostic approach to SNHL is reviewed. Lumbar puncture revealed elevated protein, low glucose, and pleocytosis with poorly differentiated cells, and a differential diagnosis is discussed. MRI of the brain revealed gadolinium enhancement within the internal auditory canals bilaterally as well as the left cochlea. Zic4 antibodies were present in serum and CSF. A malignancy workup revealed right axillary lymphadenopathy. Biopsy revealed poorly differentiated breast adenocarcinoma, with identical cells to those in the CSF. The patient was treated with intrathecal methotrexate with no effect on the patient's hearing. In this case, rapidly progressive SNHL was the presenting feature of widely metastatic breast adenocarcinoma with leptomeningeal carcinomatosis, highlighting the need to search for a central cause for this presentation.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".