Bilateral Vocal Cord Paralysis Secondary to Leptomeningeal Metastases With Unknown Primary Malignancy: A Case Report and Review of the Literature
Bibliographic record
Abstract
Bilateral vocal cord paralysis (BVCP) most commonly occurs secondary to iatrogenic injury and/or malignancy, but can also be a consequence of central nervous system (CNS) pathology. We report a case of BVCP secondary to leptomeningeal consequence in the context of unknown primary malignancy. The aim of this report is to promote awareness for BVCP caused by rare CNS pathology and highlight the importance of complete neoplastic and paraneoplastic workups in new-onset BVCP with unclear etiology. Here, we present a case report and review of the literature. A 68-year-old female presented with new-onset BVCP in the context of progressive dysphagia in addition to rectal and urinary incontinence. She underwent an awake tracheostomy. Her infectious and paraneoplastic workups did not identify a cause for her BVCP. Her brain MRI demonstrated enhancement of multiple cranial nerves, spine MRI demonstrated leptomeningeal enhancement, and cerebrospinal fluid (CSF) cytology was positive for metastatic adenocarcinoma. Her functional status was poor and she was deemed ineligible for chemotherapy and transitioned to palliative care. She died three months following her hospital admission. Leptomeningeal metastasis is a rare cause of new-onset BVCP. Airway management remains a critical component in BVCP. The sudden onset of BVCP in the context of generalized neurologic symptoms or cranial nerve deficits should prompt complete neoplastic and paraneoplastic investigation.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".