Evidence map›Paper›PMID 29872306›Full record

ReviewVascular health and risk management2018

Nonadherence to statins: individualized intervention strategies outside the pill box.

Peter Lansberg, Andre Lee, Zhen-Vin Lee, Kannan Subramaniam, Sajita Setia

Abstract readReview
In one paragraph

Review in Vascular health and risk management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 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

5 authors.

Peter LansbergDepartment of Pediatrics, University Medical Center, Groningen, the Netherlands.
Andre LeeDepartment of Pharmacy, National University of Singapore, Singapore.
Zhen-Vin LeeCardiology Unit, Department of Medicine, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Kannan SubramaniamGlobal Medical Affairs, Asia-Pacific region, Pfizer Australia, West Ryde, NSW, Australia.
Sajita SetiaMedical Affairs, Pfizer Pte Ltd, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor adherence to statin therapy is linked to significantly increased risk of cardiovascular events and death. Unfortunately, adherence to statins is far from optimal. This is an alarming concern for patients prescribed potentially life-saving cholesterol-lowering medication, especially for those at high risk of cardiovascular events. Research on statin adherence has only recently garnered broader attention; hence, major reasons unique to adherence to statin therapy need to be identified as well as suggestions for countermeasures. An integrated approach to minimizing barriers and enhancing facilitation at the levels of the patient, provider, and health system can help address adherence issues. Health care professionals including physicians, pharmacists, and nurses have an obligation to improve patient adherence, as routine care. In order to achieve sustained results, a multifaceted approach is indispensable.

Indexed as

Medication AdherenceAttitude of Health PersonnelBiomarkersCardiovascular DiseasesDyslipidemiasHealth Knowledge, Attitudes, PracticeHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLipidsPatient Education as TopicPatient ParticipationPhysician-Patient RelationsPractice Patterns, Physicians'Risk FactorsTreatment OutcomeBiomarkersHydroxymethylglutaryl-CoA Reductase InhibitorsLipidscardiovascular diseasemyopathynocebononadherencestatins

Identifiers

PMID29872306
PMCPMC5973378

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC
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 OpenQuestion graph.