Evidence map›Paper›PMID 29888459›Full record

ArticleDiabetes, obesity & metabolism2018

Body mass index impacts the choice of lipid-lowering treatment with no correlation to blood cholesterol - Findings from 52 916 patients in the Dyslipidemia International Study (DYSIS).

Jean Ferrières, Dominik Lautsch, Anselm K Gitt, Gaetano De Ferrari, Hermann Toplak, Moses Elisaf, Heinz Drexel, Martin Horack, Carl Baxter, Baishali Ambegaonkar and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

12 authors.

Jean FerrièresDepartment of Cardiology, Toulouse Rangueil University Hospital, Toulouse, France.ORCID 0000-0001-6144-1297
Dominik LautschMerck & Co. Inc., Kenilworth, New Jersey.
Anselm K GittHerzzentrum Ludwigshafen, Ludwigshafen, Germany.
Gaetano De FerrariDepartment of Cardiology, IRCCS Fondazione Policlinico San Matteo, and University of Pavia, Pavia, Italy.
Hermann ToplakLipid Clinic, Department of Medicine, Medical University of Graz, Graz, Austria.
Moses ElisafSchool of Medicine, University of Ioannina, Ioannina, Greece.
Heinz DrexelVorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Feldkirch, Austria.
Martin HorackStiftung Institut für Herzinfarktforschung, Ludwigshafen, Germany.
Carl BaxterMSD Ltd, Hoddesdon, UK.
Baishali AmbegaonkarMerck & Co. Inc., Kenilworth, New Jersey.
Philippe BrudiMerck & Co. Inc., Kenilworth, New Jersey.
Peter P TothCGH Medical Center, Sterling, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high body mass index (BMI) is associated with increased cardiovascular risk. We sought to identify whether BMI influences the choice of lipid-lowering treatment in a large, real-world cohort of 52 916 patients treated with statins. The Dyslipidemia International Study (DYSIS) is a cross-sectional, observational, multicentre study in statin-treated patients ≥45 years of age from 30 countries; 1.1% were underweight (BMI < 18.5 kg/m

Indexed as

Body Mass IndexDecision MakingAdultChoice BehaviorCholesterol, LDLCross-Sectional StudiesDyslipidemiasFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypolipidemic AgentsInternationalityMaleMiddle AgedCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsHypolipidemic Agentsbody mass indexcardiovascular riskcholesterolhyperlipidemiaobesityoverweightstatins

Identifiers

PMID29888459
PMCPMC6220851

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.