Evidence map›Paper›PMID 38648572›Full record

ArticleNeurology2024

Trends in the Use of Medications for Secondary Ischemic Stroke Prevention in Denmark, 2005-2021.

Nils Skajaa, Kristina Laugesen, Julie C Lauffenburger, Lee H Schwamm, Henrik T Sørensen, Elisabetta Patorno

Open access · goldAbstract read
In one paragraph

Article in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 2 countries.

Nils SkajaaFrom the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT.ORCID 0000-0001-8351-7133
Kristina LaugesenFrom the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT.
Julie C LauffenburgerFrom the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT.
Lee H SchwammFrom the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT.ORCID 0000-0003-0592-9145
Henrik T SørensenFrom the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT.ORCID 0000-0003-4299-7040
Elisabetta PatornoFrom the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT.
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesUnderstanding trends in the use of medications for secondary stroke prevention is crucial for identifying areas for improvement in stroke care. We examined the use of lipid-lowering, antihypertensive, glucose-lowering, oral anticoagulant, and antiplatelet medications after ischemic stroke hospitalization, from 2005 to 2021.

methodsUsing nationwide registries in Denmark, we identified a cohort of patients discharged from hospital with a first-time or recurrent ischemic stroke (N = 150,744). Stratified by calendar year, we ascertained the 180-day probability of filling a prescription for the abovementioned medications after discharge. We further assessed factors associated with medication use.

resultsFrom 2005 to 2021, lipid-lowering medication use increased from 58.3% to 82.0%; atorvastatin use rose from 2.1% to 64.8% and simvastatin use decreased from 55.7% to 8.6%. Antihypertensive medication use remained stable, at approximately 89%, and various antihypertensive classes were used comparably. Glucose-lowering medication use increased from 71.5% in 2005 to 84.1% in 2021, driven primarily by an increase in metformin use (from 28.0% to 59.5%). Use of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors continually increased (from 1.7% to 17.5% and from 0.5% to 17.3%, respectively) between 2015 and 2021. Anticoagulant medication use rose from 45.9% in 2005 to 87.0% in 2021, primarily because of increased use of direct oral anticoagulant medications starting around 2010 and a decline in warfarin use. Antiplatelet use remained consistently high, at approximately 95%. Trends were consistent across subgroups of interest; however, overall medication use was lower in older patients (65 years and older), patients with severe stroke, and patients with neurologic and psychiatric comorbidities. DISCUSSION: Despite increasing trends in the use of 3 of 5 medication classes, the overall use of lipid-lowering, glucose-lowering, and oral anticoagulant medications was somewhat lower than expected according to clinical guidelines, particularly among older patients with more severe stroke and other comorbidities. The relatively low use in these subgroups may signify appropriate clinical decision making in consideration of frequent contraindications and reduced life expectancy or highlight potential areas of improvement for the care of patients with recent ischemic stroke.

Indexed as

Hypoglycemic AgentsIschemic StrokeRegistriesSecondary PreventionAgedAged, 80 and overAnticoagulantsAntihypertensive AgentsDenmarkFemaleHumansHypolipidemic AgentsMaleMiddle AgedPlatelet Aggregation InhibitorsAnticoagulantsAntihypertensive AgentsHypoglycemic AgentsHypolipidemic AgentsPlatelet Aggregation Inhibitors

Identifiers

PMID38648572
PMCPMC11226314
OpenAlexW4394993080

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.