Evidence map›Paper›PMID 36657989›Full record

ArticleNeurology2023

Prepregnancy Migraine, Migraine Phenotype, and Risk of Adverse Pregnancy Outcomes.

Alexandra C Purdue-Smithe, Jennifer J Stuart, Leslie V Farland, Jae H Kang, Andrea M Harriott, Janet W Rich-Edwards, Kathryn Rexrode

Abstract read
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Article in Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Neurologic Complications of Pregnancy and Menopause.Continuum (Minneapolis, Minn.) · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The 5-HTNature reviews. Neurology · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Alexandra C Purdue-SmitheFrom the Division of Women's Health (A.C.P.-S., J.J.S., J.W.R.-E., K.R.) and Channing Division of Network Medicine (J.H.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology (J.J.S., J.W.R.-E.), Harvard T.H. Chan School of Public Health, Boston; Department of Epidemiology and Biostatistics (L.V.F.), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; Department of Obstetrics and Gynecology (L.V.F.), University of Arizona, College of Medicine, Tucson; and Department of Neurology (A.M.H.), Mass General Hospital and Harvard Medical School, Boston, MA. apurdue-smithe@bwh.harvard.edu.
Jennifer J StuartFrom the Division of Women's Health (A.C.P.-S., J.J.S., J.W.R.-E., K.R.) and Channing Division of Network Medicine (J.H.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology (J.J.S., J.W.R.-E.), Harvard T.H. Chan School of Public Health, Boston; Department of Epidemiology and Biostatistics (L.V.F.), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; Department of Obstetrics and Gynecology (L.V.F.), University of Arizona, College of Medicine, Tucson; and Department of Neurology (A.M.H.), Mass General Hospital and Harvard Medical School, Boston, MA.
Leslie V FarlandFrom the Division of Women's Health (A.C.P.-S., J.J.S., J.W.R.-E., K.R.) and Channing Division of Network Medicine (J.H.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology (J.J.S., J.W.R.-E.), Harvard T.H. Chan School of Public Health, Boston; Department of Epidemiology and Biostatistics (L.V.F.), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; Department of Obstetrics and Gynecology (L.V.F.), University of Arizona, College of Medicine, Tucson; and Department of Neurology (A.M.H.), Mass General Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0001-7455-8531
Jae H KangFrom the Division of Women's Health (A.C.P.-S., J.J.S., J.W.R.-E., K.R.) and Channing Division of Network Medicine (J.H.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology (J.J.S., J.W.R.-E.), Harvard T.H. Chan School of Public Health, Boston; Department of Epidemiology and Biostatistics (L.V.F.), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; Department of Obstetrics and Gynecology (L.V.F.), University of Arizona, College of Medicine, Tucson; and Department of Neurology (A.M.H.), Mass General Hospital and Harvard Medical School, Boston, MA.
Andrea M HarriottFrom the Division of Women's Health (A.C.P.-S., J.J.S., J.W.R.-E., K.R.) and Channing Division of Network Medicine (J.H.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology (J.J.S., J.W.R.-E.), Harvard T.H. Chan School of Public Health, Boston; Department of Epidemiology and Biostatistics (L.V.F.), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; Department of Obstetrics and Gynecology (L.V.F.), University of Arizona, College of Medicine, Tucson; and Department of Neurology (A.M.H.), Mass General Hospital and Harvard Medical School, Boston, MA.
Janet W Rich-EdwardsFrom the Division of Women's Health (A.C.P.-S., J.J.S., J.W.R.-E., K.R.) and Channing Division of Network Medicine (J.H.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology (J.J.S., J.W.R.-E.), Harvard T.H. Chan School of Public Health, Boston; Department of Epidemiology and Biostatistics (L.V.F.), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; Department of Obstetrics and Gynecology (L.V.F.), University of Arizona, College of Medicine, Tucson; and Department of Neurology (A.M.H.), Mass General Hospital and Harvard Medical School, Boston, MA.
Kathryn RexrodeFrom the Division of Women's Health (A.C.P.-S., J.J.S., J.W.R.-E., K.R.) and Channing Division of Network Medicine (J.H.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology (J.J.S., J.W.R.-E.), Harvard T.H. Chan School of Public Health, Boston; Department of Epidemiology and Biostatistics (L.V.F.), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; Department of Obstetrics and Gynecology (L.V.F.), University of Arizona, College of Medicine, Tucson; and Department of Neurology (A.M.H.), Mass General Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0003-3387-8429

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI George S Watts · 1994 to 2026
$36.7M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Sex Differences in the Role of Gonadal Hormones and the Hypothalamus in Migraine with Aura.K08NS124991 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Andrea M Harriott · 2022 to 2026
$1.1M
Female-Specific Risk Factors for CVD: The Impact of Adverse Pregnancy Outcomes on Subsequent Mental Health and CVD RiskK01HL159281 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI STUART, JENNIFER JACQUELINE · 2022 to 2024
$348k
NCI NIH HHS U01 CA176726NHLBI NIH HHS K01 HL159281NHLBI NIH HHS U01 HL145386NIEHS NIH HHS P30 ES006694NINDS NIH HHS K08 NS124991
6 · The paper itself

Abstract

BACKGROUND AND

objectiveMigraine is a highly prevalent neurovascular disorder among reproductive-aged women. Whether migraine history and migraine phenotype might serve as clinically useful markers of obstetric risk is not clear. The primary objective of this study was to examine associations of prepregnancy migraine and migraine phenotype with risks of adverse pregnancy outcomes.

methodsWe estimated associations of self-reported physician-diagnosed migraine and migraine phenotype with adverse pregnancy outcomes in the prospective Nurses' Health Study II (1989-2009). Log-binomial and log-Poisson models with generalized estimating equations were used to estimate relative risks (RRs) and 95% CIs for gestational diabetes mellitus (GDM), preeclampsia, gestational hypertension, preterm delivery, and low birthweight.

resultsThe analysis included 30,555 incident pregnancies after cohort enrollment among 19,694 participants without a history of cardiovascular disease, diabetes, or cancer. After adjusting for age, adiposity, and other health and behavioral factors, prepregnancy migraine (11%) was associated with higher risks of preterm delivery (RR = 1.17; 95% CI = 1.05-1.30), gestational hypertension (RR = 1.28; 95% CI = 1.11-1.48), and preeclampsia (RR = 1.40; 95% CI = 1.19-1.65) compared with no migraine. Migraine was not associated with low birthweight (RR = 0.99; 95% CI = 0.85-1.16) or GDM (RR = 1.05; 95% CI = 0.91-1.22). Risk of preeclampsia was somewhat higher among participants with migraine with aura (RR vs no migraine = 1.51; 95% CI = 1.22-1.88) than migraine without aura (RR vs no migraine = 1.30; 95% CI = 1.04-1.61; DISCUSSION: Migraine history, and to a lesser extent migraine phenotype, appear to be important considerations in obstetric risk assessment and management. Future research should determine whether aspirin prophylaxis may be beneficial for preventing adverse pregnancy outcomes among pregnant individuals with a history of migraine.

Indexed as

Diabetes, GestationalHypertension, Pregnancy-InducedPre-EclampsiaPremature BirthBirth WeightFemaleHumansPregnancyPregnancy OutcomeProspective Studies

Identifiers

PMID36657989
PMCPMC10104618

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.