Evidence map›Paper›PMID 37479530›Full record

ArticleNeurology2023

Added Predictive Value of Female-Specific Factors and Psychosocial Factors for the Risk of Stroke in Women Under 50.

Hendrikus J A van Os, Jos P Kanning, Michel D Ferrari, Tobias N Bonten, Janet M Kist, Hedwig M M Vos, Rimke C Vos, Hein Putter, Rolf H H Groenwold, Marieke J H Wermer

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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 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Hendrikus J A van OsFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands. h.j.a.van_os@lumc.nl.
Jos P KanningFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Michel D FerrariFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Tobias N BontenFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Janet M KistFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Hedwig M M VosFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Rimke C VosFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Hein PutterFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Rolf H H GroenwoldFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.
Marieke J H WermerFrom the Department of Neurology (H.J.A.v.O., M.D.F., M.J.H.W.), National eHealth Living Lab (H.J.A.v.O.), Departments of Public Health & Primary Care/Health Campus The Hague (H.J.v.A.O., T.N.B., J.M.K., H.M.M.V., R.C.V.), Clinical Epidemiology (R.H.H.G.), and Biomedical Data Sciences (H.P., R.H.H.G.), Leiden University Medical Center; Department of Neurology (J.P.K.), University Medical Center Utrecht; and Department of Neurology (M.J.H.W.), University Medical Center Groningen, the Netherlands.ORCID 0000-0002-6838-9521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesFemale-specific factors and psychosocial factors may be important in the prediction of stroke but are not included in prediction models that are currently used. We investigated whether addition of these factors would improve the performance of prediction models for the risk of stroke in women younger than 50 years.

methodsWe used data from the Stichting Informatievoorziening voor Zorg en Onderzoek, population-based, primary care database of women aged 20-49 years without a history of cardiovascular disease. Analyses were stratified by 10-year age intervals at cohort entry. Cox proportional hazards models to predict stroke risk were developed, including traditional cardiovascular factors, and compared with models that additionally included female-specific and psychosocial factors. We compared the risk models using the

resultsWe included 409,026 women with a total of 3,990,185 person-years of follow-up. Stroke occurred in 2,751 women (incidence rate 6.9 [95% CI 6.6-7.2] per 10,000 person-years). Models with only traditional cardiovascular factors performed poorly to moderately in all age groups: 20-29 years: DISCUSSION: The addition of female-specific factors and psychosocial risk factors improves the discriminatory performance of prediction models for stroke in women younger than 50 years.

Indexed as

Cardiovascular DiseasesStrokeAdultDatabases, FactualFemaleHumansMiddle AgedRisk FactorsTiletamineYoung AdultTiletamine

Identifiers

PMID37479530
PMCPMC10449433

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