Evidence map›Paper›PMID 30486824›Full record

ArticleBMC health services research2018

Prescription of lipid-lowering medications for patients with type 2 diabetes mellitus and risk-associated LDL cholesterol: a nationwide study of guideline adherence from the Swedish National Diabetes Register.

Sofia Axia Karlsson, Stefan Franzén, Ann-Marie Svensson, Mervete Miftaraj, Björn Eliasson, Karolina Andersson Sundell

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Sofia Axia KarlssonDepartment of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, BOX 453, SE-405 30, Gothenburg, Sweden. sofia.karlsson@gu.se.ORCID http://orcid.org/0000-0002-1896-9587
Stefan FranzénNational Diabetes Register, Centre of Registers, Gothenburg, Sweden.
Ann-Marie SvenssonNational Diabetes Register, Centre of Registers, Gothenburg, Sweden.
Mervete MiftarajNational Diabetes Register, Centre of Registers, Gothenburg, Sweden.
Björn EliassonDepartment of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Karolina Andersson SundellDepartment of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, BOX 453, SE-405 30, Gothenburg, Sweden.
Centre of Registers Vastra Gotaland · SEUniversity of Gothenburg · SEAstraZeneca (Sweden) · SE

Funding

Forskningsrådet för Hälsa, Arbetsliv och Välfärd (SE) 2013-0521
6 · The paper itself

Abstract

backgroundManagement of type 2 diabetes mellitus (T2DM) encompasses intensive glycaemic control, along with treatment of comorbidities and complications to handle the increased risk of cardiovascular disease (CVD). Improved control of LDL-cholesterol (LDL-C) with lipid-lowering medications is associated with reduced CVD risk in T2DM patients. Thus, treatment guidelines recommend lipid-lowering medications for T2DM patients with LDL-C above risk-associated thresholds. This study aimed to assess healthcare provider adherence to guidelines regarding lipid-lowering medication prescription among T2DM patients and to analyse factors associated with lipid-lowering medication prescription.

methodsObservations in 2007 - 2014 for T2DM patients age ≥ 18 were collected from the Swedish National Diabetes Register. Observations were excluded if they lacked information about LDL-C, lipid-lowering medication prescription or CVD. Observations with established CVD were attributed to secondary prevention; remaining observations were attributed to primary prevention. The analyses included primary and secondary prevention observations with LDL-C above risk-associated thresholds (LDL-C ≥ 2.5 mmol/l and LDL-C ≥ 1.8 mmol/l respectively). Guideline adherence was analysed as the probability of prescribing lipid-lowering medications using mixed-effect model regression adjusted for potential confounders. Factors associated with prescribing lipid-lowering medications were analysed for patient and healthcare provider characteristics using mixed-effect model regression and odds ratio.

resultsA total of 1,204,376 observations from 322,046 patients reported by 1352 healthcare providers were included. Primary prevention accounted for 63%; 52% were men, mean age was 64 and mean LDL-C was 3.4 mmol/l. For secondary prevention, 60% were men, mean age was 72 and mean LDL-C was 2.7 mmol/l. During 2007-2014, guideline adherence ranged from 36 to 47% for primary prevention and 59 to 69% for secondary prevention. In general, concomitant prescription of diabetes medications, antiplatelets and antihypertensives along with smoking and specialised care were associated with higher prescription of lipid-lowering medications. Patients age ≥ 80 were associated with lower prescription of lipid-lowering medications. Higher prescription was associated with longer diabetes duration in primary prevention and men in secondary prevention.

conclusionsAdherence to treatment guidelines levelled off after an initial increase in both prevention groups. Lipid-lowering medication prescription was based on individualised CVD risk.

Indexed as

AgedAntihypertensive AgentsBlood GlucoseCholesterol, LDLDiabetes Mellitus, Type 2Diabetic AngiopathiesFemaleGuideline AdherenceHumansHypercholesterolemiaHypolipidemic AgentsMaleMiddle AgedPractice Guidelines as TopicPrescription DrugsPrimary PreventionAntihypertensive AgentsBlood GlucoseCholesterol, LDLHypolipidemic AgentsPrescription DrugsCardiovascular disease preventionDiabetes careGuideline adherenceLipid-lowering medicationsType 2 diabetes mellitus

Identifiers

PMID30486824
PMCPMC6260691
OpenAlexW2902825340

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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.