Pregnancy Outcome Following Prenatal Exposure to Triptan Medications: A Meta‐Analysis
Bibliographic record
Abstract
BACKGROUND: Migraine is a common disorder among women of childbearing age. Triptan medications are effective and commonly used to treat migraines in pregnancy. However, the reproductive safety of this group of drugs has not yet been confirmed. The aim of this study was to determine the reproductive safety of triptan medications by performing a literature review and a meta-analysis. METHODS: Available publications regarding pregnancy outcomes following prenatal exposure to triptans from 1991 to 2013 were identified and reviewed according to the inclusion criteria. A random-effects meta-analysis model was implemented to combine the available pregnancy outcome data for the exposed and comparison groups. RESULTS: One case-control study and 5 cohort studies met the inclusion criteria. The included studies provided information on duration of gestation, major congenital malformations, and spontaneous abortions of infants following prenatal triptan exposure. The 6 studies included 4208 infants of women who used sumatriptan or other triptan medications, and 1,466,994 children of women who did not use triptans during pregnancy. No significant increases in rates for major congenital malformations (MCMs), prematurity, or spontaneous abortions were found when comparing the triptan-exposed group to the migraine - no triptans control group (odds ratio [OR] = 0.84 [0.61-1.16]; OR = 0.90 [0.35-2.30]; OR = 1.27 [0.58-2.79], respectively). There were no increased rate of MCMs (OR = 1.18 [0.97-1.44]) or prematurity (OR = 1.16 (0.67-1.99) when the triptan-exposed group was compared with the healthy controls; however, there was a significant increase in the rates of spontaneous abortions (OR = 3.54 [2.24-5.59]). When the migraine no-triptan group was compared with healthy controls, a significant increase in the rates of MCMs was found (OR = 1.41 [1.11-1.80]). CONCLUSION: The use of triptans during pregnancy does not appear to increase the rates for MCMs or prematurity. The increased rates of spontaneous abortions in the triptan-exposed group and the increased rates of MCM in the migraine no-triptan group require further research.
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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.050 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".