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Record W2102080523 · doi:10.1080/01443610701327362

Existence and severity of nausea and vomiting in pregnancy (NVP) with different partners

2007· article· en· W2102080523 on OpenAlexaffabout
Thomas R. Einarson, Yvette Navioz, Caroline Maltepe, Adrienne Einarson, Gideon Koren

Bibliographic record

VenueJournal of Obstetrics and Gynaecology · 2007
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineNauseaVomitingPregnancyObstetricsGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Nausea and vomiting in pregnancy (NVP) is a widespread condition which may impact on the quality of life. Our objective was to understand the role of the placenta, which is mostly made up of fetal cells, in NVP. We examined the relationship between NVP and different partners in the same women. If a paternal contribution to placental function affects NVP, this could shed light on the genetics of the most common condition in pregnancy. We assessed nausea and vomiting in two groups of 100 women counselled by the Motherisk Program in Toronto, using a score from 1 (none) to 5 (severe with hyperemesis). The first group had >/=2 pregnancies with the same partner; the second had >/=2 pregnancies with >/=2 partners. Scores were averaged across pregnancies, partners and overall. Regression was used to separate numbers of pregnancies and partners. The 100 women having one partner reported an average score of 3.1 in their 261 pregnancies, which was similar to the score of 3.0 in 319 multi-partner pregnancies (p = 0.508). There was a positive (but weak) correlation between gravidity and NVP score (Spearman's rho = 0.21, p < 0.001) but not between partner and score. There was a linear increase in scores from 2.7 in the first pregnancy, to 4.0 in the tenth (rho = 0.948, p < 0.01). After controlling for number of pregnancies, number of partners was not associated with NVP scores (p = 0.302). NVP severity tends to increase with each successive pregnancy. Different partners have no impact on NVP severity.

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)0.002
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 score0.109
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.027
GPT teacher head0.309
Teacher spread0.282 · 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

Citations25
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Obstetrics and GynaecologySame topicPregnancy and Medication ImpactFrench-language works237,207