Evidence map›Paper›PMID 23907090›Full record

ArticleEarly human development2013

Differences in the sleep states of IUGR and low-risk fetuses: An MCG study.

Bhargavi Sriram, Margret A Mencer, Samantha McKelvey, Eric R Siegel, Srinivasan Vairavan, James D Wilson, Hubert Preissl, Hari Eswaran, Rathinaswamy B Govindan

Abstract read
In one paragraph

Article in Early human development, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Review
  13. Fetal movements as a predictor of health.Acta obstetricia et gynecologica Scandinavica · 2016
    Review
  14. Review
  15. STUDIES IN FETAL BEHAVIOR: REVISITED, RENEWED, AND REIMAGINED.Monographs of the Society for Research in Child Development · 2015
    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

9 authors.

Bhargavi SriramGraduate Institute of Technology, University of Arkansas at Little Rock, AR 72205, USA. bxsriram@ualr.edu
Margret A Mencer
Samantha McKelvey
Eric R Siegel
Srinivasan Vairavan
James D Wilson
Hubert Preissl
Hari Eswaran
Rathinaswamy B Govindan

Funding

FETAL MAGNETOENCEPHALOGRAPHY AND EVOKED POTENTIALSR01NS036277 · NINDS · UNIV OF ARKANSAS FOR MED SCIS · PI LOWERY, CURTIS L · 1998 to 2011
$7.0M
Development of Analysis Tools to Enhance Fetal Neurological AssessmentR01EB007826 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ESWARAN, HARI · 2007 to 2013
$1.4M
NIBIB NIH HHS R01 EB007826NIBIB NIH HHS R01EB007826-01A1NINDS NIH HHS 1R01NS368277-08A1NINDS NIH HHS R01 NS036277
6 · The paper itself

Abstract

backgroundIntrauterine growth restriction (IUGR) is a fetal condition characterized by growth-rate reduction. Afflicted fetuses tend to display abnormalities in heart rate.

objectiveTo study the differences in the heart-rate variability of low-risk fetuses and IUGR fetuses during different behavioral states.

methodsA total of 40 fetal magnetocardiograms were analyzed from 20 low-risk and 20 IUGR fetuses recorded using a 151-sensor SQUID-array system. The maternal cardiac signals were attenuated using signal-space projection. Fetal R waves were identified using an adaptive Hilbert transform approach and fetal heart rate was calculated. In each three-minute window, the heart rate was classified into patterns reflective of quiet sleep (pattern A) and active sleep (pattern B) using the criteria of Nijhuis. Two adjacent 3-min windows exhibiting the same pattern were selected for analysis from every dataset. Heart-rate variability in that 6-min window was characterized using three measures, standard deviation of normal to normal (SDNN), root mean square of successive differences (RMSSD) and phase plane area (PPA).

resultsAll three measures tended to be lower in the IUGR group compared to the low-risk group. However, when the measures were analyzed in patterns, only PPA showed significant difference between the risk groups in pattern A, whereas both PPA and SDNN showed highly significant risk-group differences in pattern B. RMSSD did not show any significant risk-group difference.

conclusionThe result signifies that the heart-rate variability of IUGR fetuses is different from that of low-risk fetuses, and only PPA was able to capture the HRV differences in both quiet and active states. The difference between these two groups of fetuses shows that the fetal-activity states are potential confounders when characterizing heart-rate variability.

Indexed as

Fetal Growth RetardationFetal MovementGestational AgeHeart Rate, FetalHumansMagnetocardiographySleep StagesFetusfMCGHeart rate patternsHeart rate variabilityIUGR

Identifiers

PMID23907090
PMCPMC3816553

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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.