Bibliographic record
Abstract
Thyrotoxic periodic paralysis (TPP) is characterized by muscle weakness, areflexia, and hypokalemia in the setting of thyrotoxicosis. We present the case of a 32-year-old male with multiple presentations to the emergency department for lower limb weakness, tremors, diaphoresis, and tachycardia. His initial blood work revealed T3-toxicosis and hypokalemia, and he was treated for TPP with intravenous fluids and potassium supplementation. He had been ingesting weight loss supplements containing iodine, kelp, licorice, and likely undeclared thyroid hormones or mimics. Following discontinuation of supplements, all laboratory investigations normalized and thyrotoxicosis symptoms resolved. This case illustrates that ingestion of thyroid hormone-based nutraceuticals should be considered as a cause of thyrotoxicosis and TPP. RésuméLa paralysie périodique thyréotoxique (PPT) se caractérise par de la faiblesse musculaire, une aréflexie et une hypokaliémie dans le contexte de la thyréotoxicose. Nous exposons le cas d’un homme de 32 ans qui s’est présenté au service des urgences pour de multiples symptômes, soit une faiblesse des membres inférieurs, des tremblements, une diaphorèse et une tachycardie. Son bilan sanguin initial a révélé une toxicose-T3 et une hypokaliémie, et il a été traité contre la PPT par des solutés intraveineux et une recharge en potassium. Il ingérait des suppléments pour la perte de poids contenant de l’iode, de la laminaire, de la réglisse et probablement des hormones thyroïdiennes ou leurs analogues non déclarés. Après l’arrêt des suppléments, tous les examens de laboratoire sont revenus à la normale et les symptômes de thyréotoxicose ont disparu. Ce cas montre que l’ingestion de nutraceutiques à base d’hormones thyroïdiennes devrait être considérée comme une cause de la thyréotoxicose et de la PPT.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".