Evidence map›Paper›PMID 19688179›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2009

Fractal scaling properties of heart rate dynamics and myocardial efficiency in dilated cardiomyopathy.

Tiina Marjatta Salo, Jan Sundell, Juhani Knuuti, Jukka Kemppainen, Kira Stolen, Pirjo Nuutila, Timo H Mäkikallio, Heikki V Huikuri, K E Juhani Airaksinen

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Tiina Marjatta SaloDepartment of Medicine, University of Turku, 20520 Turku, Finland. tiina.salo@tyks.fi
Jan Sundell
Juhani Knuuti
Jukka Kemppainen
Kira Stolen
Pirjo Nuutila
Timo H Mäkikallio
Heikki V Huikuri
K E Juhani Airaksinen
University of Turku · FIOulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince altered heart rate (HR) fluctuations provide prognostic information in heart failure, we examined the associations between HR dynamics, myocardial efficiency and perfusion, among patients with dilated cardiomyopathy.

methodsSixteen patients with dilated cardiomyopathy were enrolled. Patients received supervised strength and aerobic training for 5 months (n = 9) or standard care (n = 7). The short-term scaling exponent (alpha(1)) and frequency domain measures of HR behavior were assessed at baseline and after 5 months of intervention. The left ventricular (LV) function measured using echocardiography and oxidative metabolism measured using positron emission tomography (PET) and [(11)C]-acetate were used to estimate the myocardial efficiency.

resultsShort-term fractal exponent alpha(1) correlated significantly with LV myocardial efficiency (r = 0.77, p = 0.002) at baseline. After the intervention period, the majority of patients showed improved myocardial efficiency and small or marked change in HR dynamics toward the natural fractal-like organization (alpha(1) value close 1). Parallel change in fractal properties of HR and myocardial efficiency after intervention was observed in 78% of the patients. Intervention had no significant effect on any other HR fluctuation indices.

conclusionsThe present study suggests that short-term fractal scaling exponent alpha(1), an important prognostic marker in heart failure, is related to LV myocardial efficiency.

Indexed as

Heart RateCardiomyopathy, DilatedEchocardiographyExercise TherapyFemaleFractalsHumansMaleMiddle AgedPositron-Emission TomographyPrognosisResistance TrainingVentricular Dysfunction, Left

Identifiers

PMID19688179
OpenAlexW2036357549

What OpenQuestion holds

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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.