The Management of Nausea and Vomiting of Pregnancy: Synthesis of National Guidelines
Bibliographic record
Abstract
Importance Nausea and vomiting of pregnancy (NVP) affects a high proportion of the pregnant population. Objective The aim of this study was to compare and synthesize recommendations from national guidelines regarding the management of NVP. Evidence Acquisition A descriptive review of 3 recently published national guidelines on NVP was conducted: Royal College of Obstetricians and Gynaecologists on “The Management of Nausea and Vomiting of Pregnancy and Hyperemesis Gravidarum,” American College of Obstetricians and Gynecologists on “Nausea and Vomiting of Pregnancy,” and Society of Obstetricians and Gynaecologists of Canada on “The Management of Nausea and Vomiting of Pregnancy.” These guidelines were summarized and compared in terms of the recommended management of pregnant women. The quality of evidence was also reviewed based on the method of reporting. Results Several differences were identified on the different guidelines regarding the management of NVP. Frequent small meals and avoidance of iron supplements are recommended for prevention. The consumption of ginger, acustimulations, antihistamines, phenothiazines, dopamine, and serotonin 5-hydroxytryptamine type 3 receptor antagonists is routinely recommended for use in the community as treatment. Conclusions Evidence-based medicine may lead to the adoption of an international guideline for the management of NVP, which may lead to a more effective management of that entity. Target Audience Obstetricians and gynecologists, family physicians. Learning Objectives After participating in this activity, the learner should be better able to synthesize management recommendations in cases of NVP; assess the preventive and nonpharmacologic regimens in cases of NVP; and propose the necessary pharmacologic treatment in cases of NVP.
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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 | 0.047 | 0.170 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".