The Safety of Higher Than Standard Dose of Doxylamine‐Pyridoxine (Diclectin®) for Nausea and Vomiting of Pregnancy
Bibliographic record
Abstract
A delayed-release combination of doxylamine-pyridoxine (D-P) (Diclectin) is the only approved antiemetic medication for use in pregnancy in Canada. The standard recommended dose is up to 4 tablets a day, regardless of body weight or severity of symptoms. The objective of this study was to determine the incidence of adverse maternal and fetal effects and pregnancy outcome in 225 women taking Diclectin at the recommended (n = 123) or higher than recommended (n = 102) doses. In this observational, prospective study, one-third (33.6%) of women reported having adverse effects (sleepiness, tiredness, and/or drowsiness) temporally related to the medication. There was no association between the dose per kg and rates of reported maternal adverse effects with doses ranging from 0.1 mg/kg to 2.0 mg/kg (1-12 tablets). Nausea and vomiting of pregnancy (NVP) was reported as severe by the majority (75.8%) of women. Mean birth weight (BW) was 3,400 g and gestational age (GA) 39 weeks. Multivariate analysis revealed that only prepregnancy weight and GA predicted lower BW, not the dose of D-P or the severity of NVP. There were two pregnancies with major malformation, a finding that is consistent with the rates of birth defects in the general population. It was concluded that the higher than standard dose of Diclectin, when calculated per kg of body weight, does not affect either the incidence of maternal adverse effects or pregnancy outcome. If needed, Diclectin can be given at doses higher than 4 tablets/day to normalize for body weight or optimize efficacy.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".