Evidence map›Paper›PMID 32284055›Full record

Trial reportBMC pediatrics2020

The effect of sleeping position on heart rate variability in newborns.

Petja Fister, Manca Nolimal, Helena Lenasi, Matjaž Klemenc

Abstract readClinical Trial
In one paragraph

Trial report in BMC pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
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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.

Petja FisterDivision of Paediatrics, Department of Neonatology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Manca NolimalUniversity Medical Centre Ljubljana, Ljubljana, Slovenia.
Helena LenasiInstitute of Physiology, Medical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Matjaž KlemencDepartment of Cardiology, General Hospital Nova Gorica, Nova Gorica, Slovenia. matjaz.klemenc@bolnisnica-go.si.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower heart rate variability (HRV) in a newborn might represent a risk factor for unfavourable outcome, a longer recovery after illness, and a sudden infant death. Our aim was to determine whether the newborn's sleeping position is associated with HRV.

methodsWe performed a prospective clinical study in 46 hospitalized cardiorespiratory stable term newborns. During sleeping, we measured the parameters of HRV in four body positions (supine, supine with tilt, prone, prone with tilt).

resultsThe TP (total power spectral density) was significantly higher when lying supine in comparison to prone (p = 0,048) and to prone with tilt (p = 0,046). The HF (high frequency of power spectral density) in the supine position without tilt tended to be higher compared to prone without tilt (p > 0,05). The LF (low frequency power) was significantly higher when lying supine compared to prone, both without tilt (p = 0,018). TP and HF showed a positive correlation with gestational but not postmenstrual age (p = 0.044 and p = 0.036, respectively).

conclusionsIn term newborns, sleeping position is associated with HRV. Higher TP and HF were found in the supine position, which might reflect better ANS stability. Gestational age positively correlated with TP and HF power, but only in supine position.

trial registrationISRCTN11702082, date of registration: March, 13th, 2020; retrospectively registered.

Indexed as

Heart RatePostureSleepHumansInfant, NewbornProne PositionProspective StudiesSupine PositionAutonomic nervous systemHeart rate variabilityNewbornSleeping positions

Identifiers

PMID32284055
PMCPMC7153236

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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.