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Record W1896423628 · doi:10.1002/jcph.369

Studying the antiemetic effect of vitamin B6 for morning sickness: Pyridoxine and pyridoxal are prodrugs

2014· article· en· W1896423628 on OpenAlexafffund
Ilan Matok, Shannon Clark, Steve N. Caritis, Menachem Miodovnik, Jason G. Umans, Gary Hankins, Donald R. Mattison, Gideon Koren

Bibliographic record

VenueThe Journal of Clinical Pharmacology · 2014
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsSickKids FoundationUniversity of OttawaHospital for Sick ChildrenUniversity of Toronto
FundersDuchesnay
KeywordsPyridoxineAntiemeticPyridoxalVomitingPyridoxal phosphatePharmacologyMedicineNauseaPlaceboInternal medicineEndocrinologyVitaminActive metaboliteChemistryProdrugAnesthesiaPharmacokineticsBiochemistryCofactorPhosphate

Abstract

fetched live from OpenAlex

Vitamin B6 has been known to possess antiemetic effects since 1942. This water soluble compound has several forms in the circulation including pyridoxine, pyridoxal, and pyridoxal phosphate. The active antiemetic form of vitamin B6 is unknown. This was a pre-specified substudy of a randomized, placebo-controlled trial comparing the antiemetic effect of the doxylamine-vitamin B6 combination (Diclectin®) (n = 131) to placebo (n = 126) in women with nausea and vomiting of pregnancy. Serum concentrations of pyridoxine, pyridoxal, and pyridoxal 5' phosphate (PLP) and doxylamine were measured on Days 4, 8, and 15. With Diclectin® exhibiting a significant antiemetic effect in pregnancy, serum concentrations of pyridoxine were unmeasurable in almost all patients and those of pyridoxal were undetectable in half of patients. In contrast, PLP was measurable at sustained, stable steady-state levels in all patients. Our data suggest that there is a correlation between PLP levels and PUQE score of morning sickness symptoms when pyridoxine and pyridoxal levels are undetectable, and hence they might be prodrugs of PLP, which may be the active antiemetic form of vitamin B6.

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)0.011
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.446
Teacher spread0.393 · 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

Citations10
Published2014
Admission routes2
Has abstractyes

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