Evidence map›Paper›PMID 34442006›Full record

ArticleJournal of clinical medicine2021

Dyslipidemia Management in Patients with Coronary Artery Disease. Data from the POLASPIRE Survey.

Piotr Jankowski, Paweł Kozieł, Małgorzata Setny, Marlena Paniczko, Maciej Haberka, Maciej Banach, Dirk De Bacquer, Guy De Backer, Kornelia Kotseva, David Wood and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
2.7field-weighted citation impact, top 9% 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.

  1. Article
  2. Review
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  6. Observational
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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

14 authors at 8 institutions in 4 countries.

Piotr JankowskiDepartment of Epidemiology and Health Promotion, School of Public Health, Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland.ORCID 0000-0001-6223-8821
Paweł KoziełInstitute of Cardiology, Jagiellonian University Medical College, 31-008 Kraków, Poland.
Małgorzata SetnyDepartment of Cardiology and Hypertension with the Electrophysiological Lab, Central Research Hospital the Ministry of The Interior and Administration, 00-124 Warsaw, Poland.ORCID 0000-0002-9235-5604
Marlena PaniczkoDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-089 Bialystok, Poland.ORCID 0000-0001-5977-0745
Maciej HaberkaDepartment of Cardiology, Medical University of Silesia, 40-055 Katowice, Poland.
Maciej BanachDepartment of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, 93-338 Lodz, Poland.ORCID 0000-0001-6690-6874
Dirk De BacquerDepartment of Public Health and Primary Care, Ghent University, 9000 Ghent, Belgium.
Guy De BackerDepartment of Public Health and Primary Care, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-1660-1623
Kornelia KotsevaImperial College Healthcare NHS Trust, London W2 1NY, UK.
David WoodNational Institute of Preventive Cardiology, National University of Ireland-Galway, H91 TK33 Galway, Ireland.
Zbigniew GąsiorDepartment of Cardiology, Medical University of Silesia, 40-055 Katowice, Poland.ORCID 0000-0003-3616-8932
Karol KamińskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-089 Bialystok, Poland.
Dariusz A KosiorDepartment of Cardiology and Hypertension with the Electrophysiological Lab, Central Research Hospital the Ministry of The Interior and Administration, 00-124 Warsaw, Poland.
Andrzej PająkDepartment of Clinical Epidemiology and Population Studies, Institute of Public Health, Jagiellonian University Medical College, 31-066 Kraków, Poland.ORCID 0000-0002-5641-0805
Jagiellonian University · PLGhent University · BEMedical University of Białystok · PLMedical University of Silesia · PLCardinal Stefan Wyszynski University in Warsaw · PLImperial College Healthcare NHS Trust · GBMedical University of Lodz · PLOllscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid-lowering in patients with coronary artery disease (CAD) is related to a lower risk of cardiovascular events. We evaluated factors related to the management of hypercholesterolemia in patients with established CAD. Patients were interviewed 6-18 months after hospitalization for an acute coronary syndrome (ACS) or a myocardial revascularization procedure. Statins were prescribed at discharge to 94.4% of patients, while 68.1% of the patients hospitalized for an ACS were prescribed a high-dose statin. Hospitalization in a teaching hospital, percutaneous coronary intervention, cholesterol measurement during hospitalization and the male sex were related to prescription of statins at discharge. The intensity of lipid-lowering therapy in the post-discharge period increased in 17.3%, decreased in 11.7%, and did not change in 71.0% of the patients. The prescription of a lipid-lowering drug (LLD) at discharge (odds ratio 5.88 [95% confidence intervals 3.05-11.34]) and a consultation with a cardiologist (2.48 [1.51-4.08]) were related to the use of LLDs, while age (1.32 [1.10-1.59] per 10 years), loneliness (0.42 [0.19-0.94]), professional activity (1.56 [1.13-2.16]), and diabetes (1.66 [1.27-2.16]) were related to achieving an LDL cholesterol goal 6-18 months after discharge. In conclusion, health-system-related factors are associated with the LLD utilization, whereas mainly patient-related factors are related to the control of hypercholesterolemia following hospitalization for CAD.

Indexed as

cholesterolcoronary artery diseasehypercholesterolemiasecondary prevention

Identifiers

PMID34442006
PMCPMC8396933
OpenAlexW3194633328

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.