Increased alkaline phosphatase associated with brown algae and mushroom extract–containing supplement use
Bibliographic record
Abstract
Background: Marked alkaline phosphatase (ALP) elevation as a consequence of drug exposure is uncommon. We report a chronic hepatitis B virus (HBV) positive 47-year-old male patient taking a brown algae and mushroom extract-containing supplement (Umi No Shizuku) with ALP levels almost 7 times the upper limit during routine bloodwork. ALP was 991 U/L (normal 50-112 U/L). All other liver studies were within normal range: alanine aminotransferase (ALT) 32 U/L (normal 10-63 U/L), aspartate aminotransferase (AST) 25 U/L (normal 12-41 U/L), gamma-glutamyl transferase (GGT) 22 U/L (normal 11-105 U/L), and total bilirubin 13 µmol/L (normal ≤ 13 µmol/L). Methods: Serial bloodwork was conducted to assess liver studies and bone disease markers. Imaging was utilized to exclude liver and bone disease. Results: Bloodwork and imaging all returned values within the normal range. Interrupting the supplement led to rapid normalization of ALP blood levels in the patient. Conclusions: The supplement was the only variable changed in this case, leading us to suspect that it was responsible for the elevated ALP levels.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".