Evidence map›Paper›PMID 31890393›Full record

ArticleCureus2019

A Comprehensive Assessment of Vascular and Nonvascular Risk Factors Associated with Migraine.

Urvish K Patel, Dhaivat Shah, Preeti Malik, Maryam Hussain, Bindi Chauhan, Deepkumar Patel, Shivani Sharma, Nashmia Khan, Kulin Patel, Ashish Kapoor and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 37% of its field
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Urvish K PatelNeurology and Public Health, Icahn School of Medicine at Mount Sinai, New York, USA.
Dhaivat ShahClinical Research, Icahn School of Medicine at Mount Sinai, New York, USA.
Preeti MalikPediatrics, The Children's Hospital at Montefiore, Bronx, USA.
Maryam HussainPublic Health, Icahn School of Medicine at Mount Sinai, New York, USA.
Bindi ChauhanPublic Health, Long Island University, New York, USA.
Deepkumar PatelPublic Health, New York Medical College, School of Health Science and Practice, Valhalla, USA.
Shivani SharmaInternal Medicine, SUNY Downstate Medical Center, Brooklyn, USA.
Nashmia KhanInternal Medicine, Multicare Tacoma General Hospital, Tacoma, USA.
Kulin PatelNursing, Holy Family University, School of Nursing, Philadelphia, USA.
Ashish KapoorNeurology, Bayonne Medical Center‑ Carepoint Health & Jersey City Medical Center‑ RWJ Barnabas Health, Jersey City, USA.
Tapan KaviNeurology, Cooper Neurological Institute, Cooper University Hospital, Camden, USA.
Icahn School of Medicine at Mount Sinai · USNew York Medical College · USSUNY Downstate Health Sciences University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMigraine is a chronic disabling neurological disease, with an estimated expense of $15-20 million/year. Several studies with a small number of patients have studied risk factors for migraine such as cardiovascular disorders, stroke, smoking, demographic, and genetic factors but this is the first comprehensive study for evaluation of vascular and nonvascular risk factors. It is important to evaluate all the risk factors that help to prevent the healthcare burden related to migraine.  Methodology: We performed a retrospective cross-sectional analysis of the Nationwide Inpatient Sample (NIS) (years 2013-2014) in adult (>18-years old) hospitalizations in the United States. Migraine patients were identified using ICD-9-CM code to determine the demographic characteristics, vascular, and nonvascular risk factors. Univariate analysis was performed using the chi-square test and a multivariate survey logistic regression analysis was performed to identify the prevalence of the risk factors and evaluate the odds of prevalence of risk factors amongst migraine patients compared to nonmigraine patients, respectively.

resultsOn weighted analysis, after removing missing data of age, gender and race, from years 2013 to 2014, of the total 983,065 (1.74%) migraine patients were identified. We found that younger (median age 48-years vs. 60-years), female (82.1% vs. 58.5%; p<0.0001), white population (76.8% vs. 70.5%; p<0.0001), and privately insured (41.1% vs. 27.4%; p<0.0001) patients were more likely to have migraine than others. Cerebral atherosclerosis, diabetes mellitus, ischemic heart disease, atrial fibrillation, and alcohol abuse were not significantly associated with migraine. Migraineurs had higher odds of having hypertension [odds ratio (OR): 1.44; 95% confidence interval (CI): 1.43-1.46; 44.49% vs. 52.84%], recent transient ischemic attack (TIA) (OR: 3.13; 95%CI: 3.02-3.25; 1.74% vs. 0.67%), ischemic stroke (OR: 1.40; 95%CI: 1.35-1.45; 2.06% vs. 1.97%), hemorrhagic stroke (OR: 1.11; 95%CI: 1.04-1.19; 0.49% vs. 0.46%), obesity (OR: 1.46; 95%CI: 1.44-1.48; 19.20% vs. 13.56%), hypercholesterolemia (OR: 1.33; 95%CI: 1.30-1.36; 5.75% vs. 5.54%), substance abuse (OR: 1.51; 95%CI: 1.48-1.54; 7.88% vs. 4.88%), past or current consumption of tobacco (OR: 1.40; 95%CI: 1.38-1.41; 31.02% vs. 27.39%), AIDS (OR: 1.13; 95%CI: 1.04-1.24; 0.33% vs. 0.41%), hypocalcemia (OR: 1.09; 95%CI: 1.03-1.14; 0.77% vs. 0.89%), and vitamin D deficiency (OR: 1.93; 95%CI: 1.88-1.99; 2.47% vs. 1.37%) than patients without migraine. Female patients were at a higher risk of migraine (OR: 3.02; 95%CI: 2.98-3.05) than male.

conclusionIn this study, we have identified significant risk factors for migraine hospitalizations. Early identification of these risk factors may improve the risk stratification in migraine patients.

Indexed as

hypertensionmigrainenationwide inpatient sampleobesityrisk factorsstrokesubstance abusetobaccovascular diseasevitamin d deficiency

Identifiers

PMID31890393
PMCPMC6919944
OpenAlexW2990597653

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.