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Record W2016362222 · doi:10.1080/01443610600955826

Pregnancy outcome following use of large doses of vitamin B<sub>6</sub>in the first trimester

2006· article· en· W2016362222 on OpenAlexaff
Alon Shrim, Radinka Boskovic, Caroline Maltepe, Y. Navios, Gideon Koren

Bibliographic record

VenueJournal of Obstetrics and Gynaecology · 2006
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinePregnancyVitamin b6NauseaObstetricsVomitingGestationBirth weightAdverse effectFirst trimesterVitaminGestational ageObservational studyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Vitamin B6 is often prescribed for the treatment of nausea and vomiting of pregnancy (NVP), at much higher doses than initially recommended. Large doses of vitamin B6 have been associated with cases of neuropathy. We set out to assess whether higher than standard doses of vitamin B6 during the first trimester of pregnancy were associated with a risk of maternal adverse events, major malformations, miscarriages or low birth weight. This was a prospective comparative observational study. The study group included women who were exposed to >50 mg/day of vitamin B6 during the first trimester; the control group included pregnant women with a non-teratogen exposure. A total of 192 pregnancies were followed-up. The mean dose of B6 used in the study group was 132.3 mg/day (median 110 mg/day, range 50 - 510 mg/day), for a mean period of 9 +/- 4.2 weeks. In this group (n = 96), there were 91 live births, one major malformation and the mean birth weight was 3,542 +/- 512 g. There were no statistical differences in the study endpoints between the vitamin B6 and the control groups. Within the limits of our sample size, higher than standard doses of vitamin B6 do not appear to be associated with an increased risk for major malformations.

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)0.004
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 score0.017
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 integrity0.0000.000
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 head0.029
GPT teacher head0.292
Teacher spread0.263 · 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

Citations42
Published2006
Admission routes1
Has abstractyes

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