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Record W2025921674 · doi:10.1055/s-2002-34469

Metoclopramide for Nausea and Vomiting of Pregnancy: A Prospective Multicenter International Study

2002· article· en· W2025921674 on OpenAlexaboutno aff
Matitiahu Berkovitch, Paul Mazzota, Revital Greenberg, Daniel Elbirt, Lavínia Schüler‐Faccini, Paul Merlob, Judy Arnon, Bracha Stahl, Laura A. Magee, Myla E. Moretti, Asher Ornoy

Bibliographic record

VenueAmerican Journal of Perinatology · 2002
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsnot available
Fundersnot available
KeywordsMetoclopramideMedicineNauseaVomitingPregnancyProspective cohort studyObstetricsRelative riskConfidence intervalTeratologyAnesthesiaGestationInternal medicine

Abstract

fetched live from OpenAlex

Nausea and vomiting are very common during pregnancy, mainly throughout the first trimester. Metoclopramide is a dopamine receptor blocking drug that is commonly used to treat nausea and vomiting. The aim of this prospective study was to investigate the effect on the fetus of intrauterine exposure to metoclopramide. One hundred and seventy-five women who received metoclopramide and consulted 6 teratogen information centers in Israel, Italy, Brazil, and Canada were studied. Women exposed to metoclopramide were paired for age, smoking and alcohol consumption habits with women exposed to nonteratogens. Women in the metoclopramide group had a significantly higher rate of premature births (8.1%) as compared with the control group (2.4%) ( p = 0.02, relative risk = 3.37, 95% confidence interval 1.12-10.12). Rates of major malformations in the metoclopramide group (4.4%) did not differ from controls (4.8%) ( p = 0.84, relative risk = 0.91, 95% confidence interval 0.34-2.45). According to our findings, metoclopramide use during the first trimester of pregnancy does not appear to be associated with an increased risk of malformations, spontaneous abortions, or decreased birth weight, however, larger studies are needed to confirm these observations.

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)0.000
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 score0.241
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.021
GPT teacher head0.328
Teacher spread0.307 · 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

Citations75
Published2002
Admission routes1
Has abstractyes

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