Evidence map›Paper›PMID 28840161›Full record

ArticleNeurophotonics2017

Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities.

Fenghua Tian, Michael Craig Morriss, Lina Chalak, Ramgopal Venkataraman, Chul Ahn, Hanli Liu, Lakshmi Raman

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Neurophotonics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04242602 (Multimodal Monitoring of Cerebral Autoregulation After Pediatric Brain Injury), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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.

NCT04242602 completednot on this mapstarted 2018, after this paper: background citation

Multimodal Monitoring of Cerebral Autoregulation After Pediatric Brain Injury

TypeobservationalSponsorUniversity of Texas Southwestern Medical CenterRan2018 to 2020Enrolled29ConditionsTraumatic Brain Injury, Brain Injuries, Brain Injury, VascularArmsTranscranial Doppler
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Fenghua TianUniversity of Texas at Arlington, Department of Bioengineering, Arlington, Texas, United States.
Michael Craig MorrissUniversity of Texas Southwestern Medical Center, Department of Radiology, Dallas, Texas, United States.
Lina ChalakUniversity of Texas Southwestern Medical Center, Department of Pediatrics, Dallas, Texas, United States.
Ramgopal VenkataramanUniversity of Texas at Arlington, Department of Accounting, Arlington, Texas, United States.
Chul AhnUniversity of Texas Southwestern Medical Center, Department of Clinical Science, Dallas, Texas, United States.
Hanli LiuUniversity of Texas at Arlington, Department of Bioengineering, Arlington, Texas, United States.
Lakshmi RamanUniversity of Texas Southwestern Medical Center, Department of Pediatrics, Dallas, Texas, United States.
The University of Texas Southwestern Medical Center · USThe University of Texas at Arlington · US

Funding

A Novel Wavelet Neurovascular Bundle for Real Time Detection of Injury in Neonatal EncephalopathyR01NS102617 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LINA F CHALAK · 2017 to 2026
$4.0M
American Heart Association-American Stroke Association 15BGIA25860045NINDS NIH HHS R01 NS102617
6 · The paper itself

Abstract

Extracorporeal membrane oxygenation (ECMO) is a life-supporting therapy for critically ill patients with severe respiratory and/or cardiovascular failure. Cerebrovascular impairment can result in hemorrhagic and ischemic complications commonly seen in the patients supported on ECMO. We investigated the degree of cerebral autoregulation impairment during ECMO as well as whether it is predictive of neuroimaging abnormalities. Spontaneous fluctuations of mean arterial pressure (MAP) and cerebral tissue oxygen saturation ([Formula: see text]) were continuously measured during the ECMO run. The dynamic relationship between the MAP and [Formula: see text] fluctuations was assessed based on wavelet transform coherence (WTC). Neuroimaging was conducted during and/or after ECMO as standard of care, and the abnormalities were evaluated based on a scoring system that had been previously validated among ECMO patients. Of the 25 patients, 8 (32%) had normal neuroimaging, 7 (28%) had mild to moderate neuroimaging abnormalities, and the other 10 (40%) had severe neuroimaging abnormalities. The degrees of cerebral autoregulation impairment quantified based on WTC showed significant correlations with the neuroimaging scores ([Formula: see text]; [Formula: see text]). Evidence that cerebral autoregulation impairment during ECMO was related to the patients' neurological outcomes was provided.

Indexed as

blood pressurecerebral autoregulationcerebral tissue oxygen saturationextracorporeal membrane oxygenationneurological injurywavelet transform coherence

Identifiers

PMID28840161
PMCPMC5562949
OpenAlexW2746718666

What OpenQuestion holds

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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.