Evidence map›Paper›PMID 26195231›Full record

ArticleThe international journal of cardiovascular imaging2015

Diastolic myocardial dysfunction by tissue Doppler imaging predicts mortality in patients with cerebral infarction.

Flemming J Olsen, Peter G Jørgensen, Rasmus Møgelvang, Jan S Jensen, Thomas Fritz-Hansen, Jan Bech, Jacob Sivertsen, Tor Biering-Sørensen

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Article in The international journal of cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prediction of trends in unfavorable prognosis in patients with acute ischemic stroke according to low left ventricular ejection fraction levels.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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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

8 authors.

Flemming J OlsenDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark. flemming.j.olsen@gmail.com.
Peter G JørgensenDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark.
Rasmus MøgelvangDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark.
Jan S JensenDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark.
Thomas Fritz-HansenDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark.
Jan BechDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark.
Jacob SivertsenDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark.
Tor Biering-SørensenDepartment of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several clinical prediction score models have been investigated for predicting mortality in patients with cerebral infarction. However, none of these include echocardiographic measures. Our objective was to evaluate the prognostic value of tissue Doppler imaging (TDI) of the myocardium in patients with cerebral infarction. Two hundred forty-four patients with cerebral infarction and subsequent echocardiographic examination in sinus rhythm were identified. Using TDI in three apical projections, longitudinal mitral annular velocities were obtained in six segments. Cox regression models, C-statistics and reclassification analysis were performed for global and segmental e'. During a median follow-up of 3 years 42 patients died. Patients who died had significantly impaired systolic and diastolic function (determined by LVEF and E/e'). The risk of dying increased with decreasing global e', being approximately 13 times higher for patients in the lowest tertile compared to patients in the highest tertile (HR 13.4 [3.2;56.3], p < 0.001). Patients with significantly impaired global e' showed increased mortality after multivariable adjustment for: LVEF, E/e', age, gender, heart failure, chronic obstructive pulmonary disease, prior cerebral infarction, ischemic heart disease, cancer, hypertension, hypercholesterolemia, carotid stenosis, mitral regurgitation, liver disease and thromboembolisms (HR 1.9 [1.1;3.2]), per 1 cm/s decrease, p < 0.05). Similar pattern was seen in segmental analyses of the e'. In contrast to e', no conventional echocardiographic parameters remained independent predictors of mortality after multivariable adjustment. Diastolic myocardial dysfunction determined as e' by TDI is a significant predictor of mortality in patients with cerebral infarction. Applying this parameter can aid the prognostic assessment after cerebral infarction.

Indexed as

DiastoleEchocardiography, Doppler, ColorVentricular Function, LeftAgedAged, 80 and overCerebral InfarctionChi-Square DistributionFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsPrognosisProportional Hazards ModelsEchocardiographyIschemic strokePrognosisTissue Doppler imaging

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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.