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Record W4408164670 · doi:10.3138/canlivj-2025-0005

Increased alkaline phosphatase associated with brown algae and mushroom extract–containing supplement use

2025· article· en· W4408164670 on OpenAlexaffvenue
Christopher R. McCudden, Curtis Cooper

Bibliographic record

VenueCanadian Liver Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicAlkaline Phosphatase Research Studies
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsAlkaline phosphataseBilirubinInternal medicineMushroomReference rangeChemistryMedicineEndocrinologyGastroenterologyBiochemistryEnzymeFood science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.281
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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