Evidence map›Paper›PMID 32507994›Full record

ArticleThe international journal of cardiovascular imaging2020

The impact of cardiovascular risk factors on global longitudinal strain over a decade in the general population: the copenhagen city heart study.

Kristoffer Grundtvig Skaarup, Mats Christian Højbjerg Lassen, Jacob Louis Marott, Sofie R Biering-Sørensen, Peter Godsk Jørgensen, Merete Appleyard, Jens Berning, Nis Høst, Gorm Jensen, Peter Schnohr and 4 more

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2020. 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 8% 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, 31 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

14 authors at 4 institutions in 1 country.

Kristoffer Grundtvig SkaarupDepartment of Cardiology, Herlev & Gentofte University Hospital, Copenhagen, Denmark. kristofferskaarup@hotmail.com.ORCID http://orcid.org/0000-0002-2690-7511
Mats Christian Højbjerg LassenDepartment of Cardiology, Herlev & Gentofte University Hospital, Copenhagen, Denmark.
Jacob Louis MarottThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Sofie R Biering-SørensenDepartment of Cardiology, Herlev & Gentofte University Hospital, Copenhagen, Denmark.
Peter Godsk JørgensenDepartment of Cardiology, Herlev & Gentofte University Hospital, Copenhagen, Denmark.
Merete AppleyardThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Jens BerningThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Nis HøstThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Gorm JensenThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Peter SchnohrThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Peter SøgaardThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Gunnar GislasonDepartment of Cardiology, Herlev & Gentofte University Hospital, Copenhagen, Denmark.
Rasmus MøgelvangThe Copenhagen City Heart Study, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.
Tor Biering-SørensenDepartment of Cardiology, Herlev & Gentofte University Hospital, Copenhagen, Denmark.
Frederiksberg Hospital · DKGentofte Hospital · DKUniversity of Copenhagen · DKAalborg University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global longitudinal strain (GLS) declines throughout adult-life as the LV remodels and adapts. Information on the impact of cardiac risk factors such as male sex, obesity, smoking status, hypertension, hypercholesterolemia, and diabetes on GLS. over time has not yet been investigated. The present prospective longitudinal study included 689 participants of the 4th and 5th Copenhagen City Heart Study who had GLS measured at both timepoints. Mean age was 51 years and 45% were male. All participants underwent two echocardiographic examinations median 10.4 (IQR: 10.2, 10.9) years apart. Average decline in GLS during follow-up was -0.7%. High age, male sex, high body mass index, and mean arterial blood pressure (MAP) proved to be significantly associated with an accelerated decline in GLS. In a multivariable regression model including all the investigated cardiovascular risk factors, age (stand. β-coef. = -0.10, P = 0.005), male sex (stand. β-coef. = -0.16, P < 0.001), and MAP (stand. β-coef. = -0.07, P = 0.009) were independent predictors of an accelerated decline in GLS during a 10-year period. Finally, the investigated risk factors had different regional impact after the same multivariable adjustments. Male sex had a significant impact on changes in longitudinal strain at the apical, mid-wall and basal segments, meanwhile MAP and age only accelerated changes in the mid-wall and basal longitudinal strain. In the general population age, male sex, and MAP are independent predictors of an accelerated decline in GLS over a 10-year period. Furthermore, MAP, male sex and age had different regional impact.

Indexed as

Ventricular Function, LeftVentricular RemodelingAdaptation, PhysiologicalAdultAgedCardiovascular DiseasesDenmarkEchocardiography, DopplerFemaleHumansLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesEchocardiographyGeneral populationGlobal longitudinal strainRisk factors

Identifiers

PMID32507994
OpenAlexW3033154107

What OpenQuestion holds

Textmetadata
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.