Evidence map›Paper›PMID 28075691›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2017

Complexity of brain signals is associated with outcome in preterm infants.

Cristine Sortica da Costa, Michal M Placek, Marek Czosnyka, Brenno Cabella, Magdalena Kasprowicz, Topun Austin, Peter Smielewski

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
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  4. Review
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  9. 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

7 authors.

Cristine Sortica da Costa1 The Rosie Hospital, Cambridge University Hospitals, Cambridge, UK.
Michal M Placek2 Department of Biomedical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland.
Marek Czosnyka3 Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Brenno Cabella3 Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Magdalena Kasprowicz2 Department of Biomedical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland.
Topun Austin1 The Rosie Hospital, Cambridge University Hospitals, Cambridge, UK.
Peter Smielewski3 Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.

Funding

Medical Research Council G0600986
6 · The paper itself

Abstract

A characteristic feature of complex healthy biological systems is the ability to react and adapt to minute changes in the environment. This 'complexity' manifests itself in highly irregular patterns of various physiological measurements. Here, we apply Multiscale Entropy (MSE) analysis to assess the complexity of systemic and cerebral near-infrared spectroscopy (NIRS) signals in a cohort of 61 critically ill preterm infants born at median (range) gestational age of 26 (23-31) weeks, before 24 h of life. We further correlate the complexity of these parameters with brain injury and mortality. Lower complexity index (CoI) of oxygenated haemoglobin (HbO

Indexed as

Severity of Illness IndexSpectroscopy, Near-InfraredCerebral HemorrhageCerebral VentriclesGestational AgeHemoglobinsHumansInfant, NewbornInfant, PrematureOxygenPrognosisSurvivalHemoglobinsOxygenBrain injurybrain monitoringcomplexityentropypreterm

Identifiers

PMID28075691
PMCPMC5624386

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.