Evidence map›Paper›PMID 31165941›Full record

Observational studyThe international journal of cardiovascular imaging2019

Mechanical dispersion as a marker of left ventricular dysfunction and prognosis in stable coronary artery disease.

Brede Kvisvik, Erika Nerdrum Aagaard, Lars Mørkrid, Helge Røsjø, Magnus Lyngbakken, Marit Kristine Smedsrud, Christian Eek, Bjørn Bendz, Kristina H Haugaa, Thor Edvardsen and 1 more

Open access · greenAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in The international journal of cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

11 authors at 3 institutions in 1 country.

Brede KvisvikDepartment of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway.
Erika Nerdrum AagaardDepartment of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway.
Lars MørkridDepartment of Medical Biochemistry, Institute for Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway.
Helge RøsjøDepartment of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway.
Magnus LyngbakkenDepartment of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway.
Marit Kristine SmedsrudDepartment of Cardiology, Center for Cardiological Innovation, Oslo University Hospital, University of Oslo, Oslo, Norway.
Christian EekDepartment of Cardiology, Center for Cardiological Innovation, Oslo University Hospital, University of Oslo, Oslo, Norway.
Bjørn BendzDepartment of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Kristina H HaugaaDepartment of Cardiology, Center for Cardiological Innovation, Oslo University Hospital, University of Oslo, Oslo, Norway.
Thor EdvardsenCenter for Heart Failure Research, University of Oslo, Oslo, Norway.
Jørgen GravningCenter for Heart Failure Research, University of Oslo, Oslo, Norway. j.a.gravning@medisin.uio.no.
University of Oslo · NOOslo University Hospital · NOAkershus University Hospital · NO

Funding

Norges Forskningsråd 203489/030
6 · The paper itself

Abstract

Assessment of global longitudinal strain (GLS) is superior to ejection fraction (EF) in the evaluation of left ventricular (LV) function in patients with stable coronary artery disease (CAD). However, the role of mechanical dispersion (MD) in this context remains unresolved. We aimed to evaluate the potential role of MD as a marker of LV dysfunction and long-term prognosis in stable CAD. EF, GLS and MD were assessed in 160 patients with stable CAD, 1 year after successful coronary revascularization. Serum levels of high-sensitivity cardiac troponin I (hs-cTnI) and amino-terminal pro B-type natriuretic peptide (NT-proBNP) were quantified as surrogate markers of LV dysfunction. The primary endpoint was defined as all-cause mortality, the secondary endpoint was defined as the composite of all-cause mortality and hospitalization for acute myocardial infarction or heart failure during follow-up. Whereas no associations between EF and the biochemical markers of LV function were found, both GLS and MD correlated positively with increasing levels of hs-cTnI (R = 0.315, P < 0.001 and R = 0.442, P < 0.001, respectively) and NT-proBNP (R = 0.195, P = 0.016 and R = 0.390, P < 0.001, respectively). Median MD was 46 ms (interquartile range [IQR] 37-53) and was successfully quantified in 96% of the patients. During a median follow-up of 8.4 (IQR 8.2-8.8) years, 14 deaths and 29 secondary events occurred. MD was significantly increased in non-survivors, and provided incremental prognostic value when added to EF and GLS. NT-proBNP was superior to the echocardiographic markers in predicting adverse outcomes. MD may be a promising marker of LV dysfunction and adverse prognosis in stable CAD.

Indexed as

EchocardiographyMyocardial RevascularizationVentricular Function, LeftAgedBiomarkersCause of DeathCoronary Artery DiseaseFemaleHumansMaleMiddle AgedNatriuretic Peptide, BrainPatient ReadmissionPeptide FragmentsPredictive Value of TestsProspective StudiesBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Troponin IAmino-terminal pro-B-type natriuretic peptideHigh-sensitivity troponin IMechanical dispersionMyocardial strainSpeckle tracking echocardiographyStable coronary artery disease

Identifiers

PMID31165941
OpenAlexW2953593879

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.