Evidence map›Paper›PMID 28421173›Full record

ReviewFrontiers in pediatrics2017

Cerebral Autoregulation, Brain Injury, and the Transitioning Premature Infant.

Zachary A Vesoulis, Amit M Mathur

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05767385 (Fetal Cerebrovascular Autoregulation in Congenital Heart Disease and Association With Neonatal Neurobehavior), which is not on this map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
17.9field-weighted citation impact, top 1% 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.

NCT05767385 phase2 / phase3completednot on this mapstarted 2021, after this paper: background citation

Fetal Cerebrovascular Autoregulation in Congenital Heart Disease and Association With Neonatal Neurobehavior

TypeinterventionalSponsorUniversity of UtahRan2021 to 2025Enrolled104ConditionsCongenital Heart Disease in Children, Hypoxia, Neurodevelopmental Disorders, Complex Congenital Heart DiseaseArmsSingle Arm, Neonatal Neurobehavioral Scale
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 101 citations in OpenAlex.

  1. Trial
  2. Trial
  3. The effect of umbilical cord milking on cerebral blood flow in very preterm infants: a randomized controlled study.Journal of perinatology : official journal of the California Perinatal Association · 2021
    Trial
  4. Article
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  13. Review
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  15. Review
  16. Article
  17. [Risk factors and prognosis of hypotension within 72 hours after birth in extremely preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Zachary A VesoulisDivision of Newborn Medicine, Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.
Amit M MathurDivision of Newborn Medicine, Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.
Mallinckrodt (United States) · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR002345
6 · The paper itself

Abstract

Improvements in clinical management of the preterm infant have reduced the rates of the two most common forms of brain injury, such as severe intraventricular hemorrhage and white matter injury, both of which are contributory factors in the development of cerebral palsy. Nonetheless, they remain a persistent challenge and are associated with a significant increase in the risk of adverse neurodevelopment outcomes. Repeated episodes of ischemia-reperfusion represent a common pathway for both forms of injury, arising from discordance between systemic blood flow and the innate regulation of cerebral blood flow in the germinal matrix and periventricular white matter. Nevertheless, establishing firm hemodynamic boundaries, as a part of neuroprotective strategy, has challenged researchers. Existing measures either demonstrate inconsistent relationships with injury, as in the case of mean arterial blood pressure, or are not feasible for long-term monitoring, such as cardiac output estimated by echocardiography. These challenges have led some researchers to focus on the mechanisms that control blood flow to the brain, known as cerebrovascular autoregulation. Historically, the function of the cerebrovascular autoregulatory system has been difficult to quantify; however, the evolution of bedside monitoring devices, particularly near-infrared spectroscopy, has enabled new insights into these mechanisms and how impairment of blood flow regulation may contribute to catastrophic injury. In this review, we first seek to examine how technological advancement has changed the assessment of cerebrovascular autoregulation in premature infants. Next, we explore how clinical factors, including hypotension, vasoactive medications, acute and chronic hypoxia, and ventilation, alter the hemodynamic state of the preterm infant. Additionally, we examine how developmentally linked or acquired dysfunction in cerebral autoregulation contributes to preterm brain injury. In conclusion, we address exciting new approaches to the measurement of autoregulation and discuss the feasibility of translation to the bedside.

Indexed as

autoregulationbrain injuryintraventricular hemorrhagenear-infrared spectroscopyprematuritywhite matter injury

Identifiers

PMID28421173
PMCPMC5377300
OpenAlexW2604806814

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.