Evidence map›Paper›PMID 28130470›Full record

ArticleNeurology2017

Predictors of incident epilepsy in older adults: The Cardiovascular Health Study.

Hyunmi Choi, Alison Pack, Mitchell S V Elkind, W T Longstreth, Thanh G N Ton, Frankline Onchiri

Open access · bronzeAbstract read
In one paragraph

Article in Neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 70 citations in OpenAlex.

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  17. Association of Plasma AβNeurology · 2023
    Article
  18. Long-term risk of seizure after posterior reversible encephalopathy syndrome.Annals of clinical and translational neurology · 2023
    Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hyunmi ChoiFrom the Department of Neurology (H.C., A.P., M.S.V.E.), Columbia University, New York, NY; Departments of Neurology (W.T.L.) and Epidemiology (W.T.L., F.O.), University of Washington, Seattle; Precision Health Economics (T.G.N.T.), Oakland, CA; and Seattle Children's Research Institute (F.O.), WA. hc323@columbia.edu.
Alison PackFrom the Department of Neurology (H.C., A.P., M.S.V.E.), Columbia University, New York, NY; Departments of Neurology (W.T.L.) and Epidemiology (W.T.L., F.O.), University of Washington, Seattle; Precision Health Economics (T.G.N.T.), Oakland, CA; and Seattle Children's Research Institute (F.O.), WA.
Mitchell S V ElkindFrom the Department of Neurology (H.C., A.P., M.S.V.E.), Columbia University, New York, NY; Departments of Neurology (W.T.L.) and Epidemiology (W.T.L., F.O.), University of Washington, Seattle; Precision Health Economics (T.G.N.T.), Oakland, CA; and Seattle Children's Research Institute (F.O.), WA.
W T LongstrethFrom the Department of Neurology (H.C., A.P., M.S.V.E.), Columbia University, New York, NY; Departments of Neurology (W.T.L.) and Epidemiology (W.T.L., F.O.), University of Washington, Seattle; Precision Health Economics (T.G.N.T.), Oakland, CA; and Seattle Children's Research Institute (F.O.), WA.
Thanh G N TonFrom the Department of Neurology (H.C., A.P., M.S.V.E.), Columbia University, New York, NY; Departments of Neurology (W.T.L.) and Epidemiology (W.T.L., F.O.), University of Washington, Seattle; Precision Health Economics (T.G.N.T.), Oakland, CA; and Seattle Children's Research Institute (F.O.), WA.
Frankline OnchiriFrom the Department of Neurology (H.C., A.P., M.S.V.E.), Columbia University, New York, NY; Departments of Neurology (W.T.L.) and Epidemiology (W.T.L., F.O.), University of Washington, Seattle; Precision Health Economics (T.G.N.T.), Oakland, CA; and Seattle Children's Research Institute (F.O.), WA.
University of Washington · US

Funding

Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
CORONARY HEART DISEASE &STROKE IN THE ELDERLYN01HC085080 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1988 to 2000
–
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085081 · HC · JOHNS HOPKINS UNIVERSITY · PI FRIED, LINDA P · 1988 to 2000
–
CHS-Transition Phase -268055222-268055222N01HC055222 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2005 to 2006
–
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085083 · HC · UNIVERSITY OF CALIFORNIA DAVIS · PI ROBBINS, JOHN A · 1988 to 1999
–
CENTRAL BLOOD ANALYSIS LABORATORY FOR CHSN01HC085086 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1988 to 2000
–
CORONARY HEART DISEASE AND STROKE IN PEOPLE AGED 65-84N01HC085082 · HC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KULLER, LEWIS H · 1988 to 2000
–
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65 TO 84N01HC085079 · HC · UNIVERSITY OF WASHINGTON · 1988 to 2005
–
NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS U01 HL080295NIA NIH HHS R01 AG023629
6 · The paper itself

Abstract

objectiveTo determine the prevalence, incidence, and predictors of epilepsy among older adults in the Cardiovascular Health Study (CHS).

methodsWe analyzed data prospectively collected in CHS and merged with data from outpatient Medicare administrative claims. We identified cases with epilepsy using self-report, antiepileptic medication, hospitalization discharge ICD-9 codes, and outpatient Medicare ICD-9 codes. We used Cox proportional hazards regression to identify factors independently associated with incident epilepsy.

resultsAt baseline, 42% of the 5,888 participants were men and 84% were white. At enrollment, 3.7% (215 of 5,888) met the criteria for prevalent epilepsy. During 14 years of follow-up totaling 48,651 person-years, 120 participants met the criteria for incident epilepsy, yielding an incidence rate of 2.47 per 1,000 person-years. The period prevalence of epilepsy by the end of follow-up was 5.7% (335 of 5,888). Epilepsy incidence rates were significantly higher among blacks than nonblacks: 4.44 vs 2.17 per 1,000 person-years (

conclusionsEpilepsy in older adults in the United States was common. Blacks, the very old, and those with history of stroke have a higher risk of incident epilepsy. The association with race remains unexplained.

Indexed as

AgedAge FactorsEpilepsyFemaleFollow-Up StudiesHospitalizationHumansIncidenceMaleMedicareMultivariate AnalysisPrevalenceProportional Hazards ModelsProspective StudiesRacial GroupsRisk Factors

Identifiers

PMID28130470
PMCPMC5331867
OpenAlexW2580008281

What OpenQuestion holds

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Registered trials

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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.