Myopathic dysphagia caused by thyrotoxicosis: a case report and review of the literature
Bibliographic record
Abstract
Summary: Myopathy caused by thyrotoxicosis is not uncommon. Skeletal muscles are commonly involved, but dysphagia is a rare manifestation of thyrotoxicosis. We aim to raise awareness of dysphagia caused by hyperthyroidism and review similar cases in the literature. We present a case of severe dysphagia caused by hyperthyroidism. We also summarize similar case reports in the literature. Our patient is a 77-year-old man who presented with thyrotoxicosis related to Graves' disease (GD), dysphagia to both liquid and solid food, and weight loss. Further investigations revealed severe esophageal dysphagia and a high risk for aspiration. He required the placement of a G-tube for feeding. After 8 weeks of methimazole treatment, his thyroid function normalized and his dysphagia improved significantly, leading to the removal of the feeding G-tube. We summarize 19 case reports published in the literature of hyperthyroidism leading to dysphagia. Patients with thyrotoxicosis and dysphagia are at higher risk for aspiration pneumonia and thyroid storm. Based on previous case reports, on average, approximately 3 weeks of treatment with anti-thyroidal drugs and beta-blockers is needed before patients can eat normally. We report a case of dysphagia associated with GD, which is rare and needs prompt recognition to restore euthyroid status. Dysphagia generally resolved with normalization of thyroid function. Learning points: Myopathy caused by thyrotoxicosis is not uncommon. Skeletal muscles are commonly involved, but dysphagia is a rare manifestation of thyrotoxicosis. Dysphagia due to hyperthyroidism resolves with normalization of thyroid function. Early recognition of dysphagia related to hyperthyroidism and early initiation of therapy may help reverse the dysphagia and prevent complications.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".