Evidence map›Paper›PMID 33431950›Full record

ArticleScientific reports2021

Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes.

Joseph M Dardick, David Flomenbaum, Daniel L Labovitz, Natalie Cheng, Ava L Liberman, Charles Esenwa

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Joseph M DardickDepartment of Neurology, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, Bronx, NY, 10467, USA. joseph.dardick@einsteinmed.org.
David FlomenbaumDepartment of Neurology, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, Bronx, NY, 10467, USA.
Daniel L LabovitzDepartment of Neurology, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, Bronx, NY, 10467, USA.
Natalie ChengDepartment of Neurology, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, Bronx, NY, 10467, USA.
Ava L LibermanDepartment of Neurology, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, Bronx, NY, 10467, USA.
Charles EsenwaDepartment of Neurology, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, Bronx, NY, 10467, USA.

Funding

The Misdiagnosis of Cerebrovascular Disease in Emergent Headache EvaluationsK23NS107643 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LIBERMAN, AVA L · 2018 to 2022
$997k
NINDS NIH HHS K23 NS107643
6 · The paper itself

Abstract

Acute Ischemic Stroke (AIS) in the young is increasing in prevalence and the largest subtype within this cohort is cryptogenic. To curb this trend, new ways of defining cryptogenic stroke and associated risk factors are needed. We aimed to gain insights into the presence or absence of cardiovascular risk factors in cases of cryptogenic stroke. We conducted a retrospective cohort study of patients aged 18-49 who presented to an urban tertiary care center with AIS. We manually collected predefined demographic, clinical, laboratory and radiological variables. Clinical risk phenotypes were determined using these variables through multivariate analysis of patients with the small and large vessel disease subtypes (vascular phenotype) and cardioembolic subtype (cardiac phenotype). The resultant phenotype models were applied to cases deemed cryptogenic. Within the 449 patients who met criteria, patients with small and large vessel disease (vascular phenotype) had higher rates of hypertension, intracranial atherosclerosis, and diabetes mellitus, and higher admission glucose, HbA1c, admission blood pressure, and cholesterol compared to the patients with cardioembolic AIS. The cardioembolic subgroup (cardiac phenotype) had significantly higher rates of congestive heart failure (CHF), rheumatic heart disease, atrial fibrillation, clotting disorders, left ventricular hypertrophy, larger left atrial sizes, lower ejection fractions, and higher B-type natriuretic peptide and troponin levels. Adjusted multivariate analysis produced six variables independently associated with the vascular phenotype (age, male sex, hemoglobin A1c, ejection fraction (EF), low-density lipoprotein (LDL) cholesterol, and family history of AIS) and five independently associated with the cardiac phenotype (age, female sex, decreased EF, CHF, and absence of intracranial atherosclerosis). Applying these models to cryptogenic stroke cases yielded that 51.5% fit the vascular phenotype and 3.1% fit the cardiac phenotype. In our cohort, half of young patients with cryptogenic stroke fit the risk factor phenotype of small and large vessel strokes.

Indexed as

Heart Disease Risk FactorsPhenotypeAdolescentFemaleHumansIschemic StrokeMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID33431950
PMCPMC7801422

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