Fahr’s Syndrome due to Hypoparathyroidism Following Thyroidectomy
Bibliographic record
Abstract
Fahr’s syndrome is a rare, degenerative, and neuropsychiatric disorder characterized by seizures, extrapyramidal and neuropsychiatric symptoms as a result of symmetric and bilateral calcifications of the nucleus pallidus, the putamen, the dentate nucleus of the cerebellum, and the hemispheric white matter at the base of the skull. The female patients, who has 53-year-old, was admitted in the intensive care unit with status epilepticus for 24 hours associated to acute respiratory failure due to aspiration pneumonia. She had undergone a thyroidectomy 22 years ago, when she started involuntary lasting muscular contractions of the upper extremities, which progressed to convulsions throughout the years. There were Chvostek and Trousseau signs. Laboratory tests showed ionic calcium of 0.55 mmol/L. Computed tomography scan of the brain showed intracranial symmetrical calcifications of the basal nuclei, semioval center, occipital, and cerebellar cortex. According to the clinical presentation, examination findings, and subsequent investigation exams, our case was diagnosed as Fahr’s syndrome due to post-thyroidectomy hypoparathyroidism. Fahr’s syndrome should be considered in patients with neuropsychiatric disturbances and seizure disorder, especially following thyroidectomy. J Med Cases. 2013;4(6):380-384 doi: https://doi.org/10.4021/jmc1252e
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".