Levothyroxine malabsorption following sleeve gastrectomy
Bibliographic record
Abstract
Summary: Oral levothyroxine (LT4) is prescribed worldwide for hypothyroidism. Bariatric surgery for patients with obesity has shown a substantial, long-term weight loss and considerable improvement of obesity-related diseases. LT4 malabsorption represents a significant cause of refractory hypothyroidism, well known after malabsorptive bariatric surgery such as Roux-en-Y gastric bypass. However, few studies have shown an increase in oral LT4 needed after sleeve gastrectomy. We present a 47-year-old woman with class III obesity and a history of papillary thyroid cancer, with an excellent biochemical and structural response after total thyroidectomy and radioactive iodine. She underwent sleeve gastrectomy 3 years later and developed refractory hypothyroidism despite taking high doses of oral LT4 and ensuring compliance. The T4 absorption test confirmed gastrointestinal LT4 malabsorption. She was initiated on intramuscular LT4 and oral T3 (liothyronine) with improving symptoms and levels of thyroid-stimulating hormone. Learning points: Monitoring thyroid function tests is essential after bariatric surgery, including sleeve gastrectomy. Oral LT4 malabsorption should be considered in cases of refractory hypothyroidism. The T4 absorption test is a useful tool for distinguishing true malabsorption from pseudo-malabsorption. Decreased LT4 absorption after bariatric surgery might be explained by higher gastric pH and reduced stomach volume (impaired dissolution) and by interference with food, vitamin/mineral supplements or other drugs. When LT4 malabsorption is confirmed, a trial of other oral formulations (LT4 tablet crushed, soft gel or liquid preparation) or parenteral administrations is suggested.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".