Evidence map›Paper›PMID 34465984›Full record

ReviewPatient preference and adherence2021

Determinants of Non-Adherence to the Medications for Dyslipidemia: A Systematic Review.

João Lopes, Paulo Santos

Abstract readReview
In one paragraph

Review in Patient preference and adherence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

2 authors.

João LopesDepartment of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0002-0393-770X
Paulo SantosDepartment of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0002-2362-5527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDyslipidemia is a major cardiovascular risk factor, and its control leads to less cardiovascular events. Many patients will need some medications to achieve ideal targets. Non-adherence to medications is a complex problem with high impact on their effectiveness. This study aims to identify the determinants of non-adherence to medications in patients with dyslipidemia. PATIENTS AND

methodsWe conducted a systematic review. PubMed and Scopus databases were searched for original articles, published between 2000 and 2020, using the MeSH terms "Dyslipidemias" and "Medication Adherence".

resultsFrom the initial 3502 identified articles, we selected 46 to include in the final qualitative synthesis. The determinants associated with non-adherence were lower age (≤50 years), female sex, African American ethnicity, smoking habits, being a new user of lipid-lowering medications, reporting or having concerns about lipid-lowering medication side effects and some comorbidities (chronic obstructive pulmonary disease, Alzheimer's disease/dementia, depression and diabetes). On the contrary, adherence is higher in older patients, alcohol drinking habits, taking β-blockers, having a higher number of comorbidities, having a history of cardiovascular events, cardiac interventions or revascularization procedures, having health insurance and having more provider follow-up visits.

conclusionThere are important identifiable determinants of non-adherence in patients with dyslipidemia. These patients benefit from a specific approach to minimize the problem and maximize the potential benefit of the prescription.

Indexed as

causalitydyslipidemiasepidemiologic factorsheart disease risk factorsmedication adherence

Identifiers

PMID34465984
PMCPMC8403077

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.