Evidence map›Paper›PMID 31008271›Full record

ArticleEuropean stroke journal2016

Inequalities in medication adherence to statin treatment after stroke: A nationwide observational study.

Maria Sjölander, Marie Eriksson, Eva-Lotta Glader

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Article in European stroke journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
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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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

3 authors.

Maria SjölanderDepartment of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden.
Marie ErikssonDepartment of Statistics, Umeå University, Umeå, Sweden.
Eva-Lotta GladerDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective was to investigate differences in adherence to statins after stroke based on age, sex, socioeconomic status and country of birth. PATIENTS AND

methodsPatients with ischemic stroke in 2009-2010 were included from the Swedish stroke register. Adherence to statin treatment was measured over two years as proportion of days covered with 80% as cut-off for adherence. Income, education, and country of birth were obtained from official registers. Factors associated with adherence were controlled for in multivariable logistic regression.

resultsOf 15,192 included patients, 73.9% had an adherence rate ≥80%. The oldest (85+ years) and youngest (18-54 years) had the lowest adherence, and a smaller proportion of women were adherent (odds ratio (OR) 0.84; 95% confidence interval (CI) 0.77-0.92). Adherence was less common in patients born in Nordic countries (OR 0.82; 95% CI (0.68-0.97), Europe (OR 0.78; 95% CI 0.65-0.93), and in non-European countries (OR 0.65; 95% CI 0.50-0.84) compared to Sweden-born. Patients with university education were to a lower extent adherent compared to patients with primary school education (OR 0.81; 95% CI 0.72-0.91). There was no association between adherence and income. DISCUSSION: The study was based on individual level real-life data with national coverage. Adherence was estimated from data on filled prescriptions, but filled prescription does not mean that drugs are used as intended.

conclusionAdherence to statin treatment over two years was suboptimal, and adherence was less common among women, patients born outside of Sweden and patients with university education.

Indexed as

Ischemic strokemedication adherencesecondary preventionsocioeconomic factorsstatins

Identifiers

PMID31008271
PMCPMC6301226

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.