Evidence map›Paper›PMID 32889790›Full record

ReviewPhysiological reports2020

Metabolic brain measurements in the newborn: Advances in optical technologies.

Gemma Bale, Subhabrata Mitra, Ilias Tachtsidis

Open access · goldAbstract readReview
In one paragraph

Review in Physiological reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

3 authors at 2 institutions in 2 countries.

Gemma BaleMedical Physics and Biomedical Engineering, University College London, London, UK.
Subhabrata MitraNeonatology, EGA Institute for Women's Health, University College London, London, UK.
Ilias TachtsidisMedical Physics and Biomedical Engineering, University College London, London, UK.ORCID 0000-0002-8125-0313
University College London · GBInstitute for Reproductive Health · US

Funding

Medical Research Council MR/R005613/1Medical Research Council MR/S003134/1Wellcome Trust 104580/Z/14/Z
6 · The paper itself

Abstract

Neonatal monitoring in neonatal intensive care is pushing the technological boundaries of newborn brain monitoring in order to improve patient outcome. There is an urgent need of a cot side, real time monitoring for assessment of brain injury severity and neurodevelopmental outcome, in particular for term newborn infants with hypoxic-ischemic brain injury. This topical review discusses why brain tissue metabolic monitoring is important in this group of infants and introduces the currently used neuromonitoring techniques for metabolic monitoring in the neonatal intensive care unit (NICU). New optical techniques that can monitor changes in brain metabolism together with brain hemodynamics at the cot side are presented. Early studies from these emerging technologies have demonstrated their potential to deliver continuous information regarding cerebral physiological changes in sick newborn infants in real time. The promises of these new tools as well as their potential limitations are discussed.

Indexed as

BiomarkersBrainElectroencephalographyHumansInfant, NewbornIntensive Care, NeonatalMagnetic Resonance ImagingNeurophysiological MonitoringSpectroscopy, Near-InfraredBiomarkersbiomarkerscerebral metabolismintensive care medicinenear-infrared spectroscopyneonatal medicineoptical monitoring

Identifiers

PMID32889790
PMCPMC7507543
OpenAlexW3083715663

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.