Evidence map›Paper›PMID 25174567›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2014

Predictors of cholesterol and lipoprotein(a) testing in children with arterial ischemic stroke.

Sally Sultan, Nicole Schupf, Michael Dowling, Gabrielle DeVeber, Adam Kirton, Mitchell S V Elkind, IPSS Investigators

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In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Sally SultanDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York. Electronic address: sms92@columbia.edu.
Nicole SchupfTaub Institute for Research on Alzheimer's disease and the Aging Brain, Columbia University, New York, New York; Gertrude H Sergievsky Center, Columbia University, New York, New York; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Michael DowlingDivision of Pediatric Neurology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas.
Gabrielle DeVeberDivision of Neurology and Labatt Family Heart Centre, Department of Pediatrics, Hospital for Sick Children, Toronto, Ontario, Canada.
Adam KirtonCalgary Pediatric Stroke Program, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.
Mitchell S V ElkindDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York; Gertrude H Sergievsky Center, Columbia University, New York, New York; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
IPSS Investigators
Columbia University · USHospital for Sick Children · CAThe University of Texas Southwestern Medical Center · USUniversity of Calgary · CA

Funding

NEUROEPIDEMIOLOGY TRAINING PROGRAMT32NS007153 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GU, YIAN, WILLEY, JOSHUA ZEBADIAH · 1987 to 2023
$6.2M
NHLBI NIH HHS L30 HL120275NINDS NIH HHS T32 NS007153NINDS NIH HHS T32-NS07153
6 · The paper itself

Abstract

backgroundProfessional societies recommend screening lipids in healthy children. Dyslipidemia and elevated lipoprotein(a) are risk factors for adult cardiovascular disease and stroke. Their role in childhood arterial ischemic stroke is unexplored. Inconsistencies in testing limit analysis of existing lipid data. The objective of this study is to identify predictors and modifiable barriers to lipid testing in pediatric stroke.

methodsIn this cross-sectional analysis, children (28 days-18 years) with arterial ischemic stroke were identified from the International Pediatric Stroke Study registry (January 2003-April 2012). Analyzed predictors of recorded lipid or lipoprotein a (Lp(a)) testing were age, sex, race, ethnicity, body mass index (BMI) category, other stroke risk factors, country, US region, and recurrent thrombosis.

resultsAmong 1652 participants (median, 6 years [interquartile range, 1.7-12.7]; 59.0% male; 40.8% white; 7.0% black), at least 1 lipid parameter or Lp (a) was available for 461 (27.9%). Compared with infants, testing was incrementally higher for older age categories. Compared with whites, testing was lower in blacks (adjusted odds ratio [OR], .5; 95% confidence interval [CI], .4-.5; P < .0001). Hispanic ethnicity only predicted testing within the United States (OR, 2.2; 95% CI, 1.4-3.4; P = .001]. Testing was lower in the United States and Australia and higher in Chile. Any thrombotic recurrence and recurrent symptomatic arterial ischemic stroke were associated with testing, unlike male sex, BMI, other stroke risk factors, and region in the United States.

conclusionsOnly a quarter of children with stroke had recorded lipid testing. Older age, white race, and recurrence predicted testing. In future study adjusting for these predictors may be necessary. Standardized lipid testing in children with arterial ischemic stroke may further our understanding of this potential risk factor.

Indexed as

AdolescentAge FactorsBody Mass IndexBrain IschemiaCerebral Arterial DiseasesChildChild, PreschoolCholesterolCross-Sectional StudiesEthnicityFemaleHematologic TestsHumansInfantInfant, NewbornIntracranial ThrombosisCholesterolLipoprotein(a)cholesterollipidslipoprotein(a)Pediatric strokepreventionrisk factors

Identifiers

PMID25174567
PMCPMC4211425
OpenAlexW2088332466

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.