Evidence map›Paper›PMID 29987430›Full record

ArticleMedical & biological engineering & computing2019

Multi-parametric cardiorespiratory analysis in late-preterm, early-term, and full-term infants at birth.

Maristella Lucchini, Nina Burtchen, William P Fifer, Maria G Signorini

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  3. Review
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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

4 authors.

Maristella LucchiniDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA. maristella.lucchini@polimi.it.ORCID http://orcid.org/0000-0002-7968-7196
Nina BurtchenDepartment of Psychosomatic Medicine and Psychotherapy, University of Freiburg, Freiburg, Germany.
William P FiferDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Maria G SignoriniDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.

Funding

National Center for Advancing Translational Sciences UL1TR001873National Institutes of Health R37 HD32774National Institutes of Health T32 MH018264Rotary Foundation GG1639591
6 · The paper itself

Abstract

Infants born at 35-37 weeks' gestational age (GA) are at higher risk for a range of pathological conditions and poorer neurodevelopmental outcomes. However, mechanisms responsible are not fully understood. The purpose of this paper is to use traditional and novel techniques to assess newborn autonomic development as a function of GA at birth, focusing on cardiorespiratory regulation. ECG and respiration were acquired during sleep on 329 healthy newborns. Infants were divided into GA groups: 35-36 weeks (late preterm (LPT)), 37-38 weeks (early term (ET)), and 39-40 weeks (full term (FT)). Time domain, frequency domain, and non-linear measures were calculated. Increased heart rate short-term variability and complexity as a function of GA were observed in time domain and non-linear measures. Decreasing inter-breath interval variability was found as a function of GA, with increasing linear cardiorespiratory coupling. A complexity parameter (quadratic sample entropy) was less affected by arrhythmias and artifacts when compared to traditional measures. Results suggest lower maturation in LPT, with less developed cardiorespiratory regulation. This may confer risk for altered outcome, convergent with epidemiological findings. Reported examples show that a combination of methodological approaches can be beneficial to characterize autonomic maturation. Graphical abstract ᅟ.

Indexed as

Signal Processing, Computer-AssistedAutonomic Nervous SystemElectrocardiographyHeart RateHumansInfant, NewbornInfant, PrematureNonlinear DynamicsAutonomic nervous systemHeart rate variabilityNon-linear analysisPrematurity

Identifiers

What OpenQuestion holds

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Registered trials

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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.