Evidence map›Paper›PMID 32367476›Full record

ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2020

Resuscitating the Globally Ischemic Brain: TTM and Beyond.

Melika Hosseini, Robert H Wilson, Christian Crouzet, Arya Amirhekmat, Kevin S Wei, Yama Akbari

Open access · bronzeAbstract readReview
In one paragraph

Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Is Cooler Safer and More Advantageous? A Feasibility Study in Rabbits.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2026
    Article
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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

6 authors at 2 institutions in 1 country.

Melika Hosseini *Department of Neurology, School of Medicine, University of California, Irvine, USA.
Robert H Wilson *Department of Neurology, School of Medicine, University of California, Irvine, USA.
Christian CrouzetDepartment of Neurology, School of Medicine, University of California, Irvine, USA.
Arya AmirhekmatDepartment of Neurology, School of Medicine, University of California, Irvine, USA.
Kevin S WeiDepartment of Neurology, School of Medicine, University of California, Irvine, USA.
Yama AkbariDepartment of Neurology, School of Medicine, University of California, Irvine, USA. yakbari@uci.edu.
University of California, Irvine · USBeckman Laser Institute and Medical Clinic · US

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, ZHONGPING · 2012 to 2017
$7.0M
Institutional Career Development CoreKL2TR001416 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, DEMETRIOU, MICHAEL · 2015 to 2023
$5.6M
NRSA Training CoreTL1TR001415 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, HEAD, ELIZABETH · 2015 to 2023
$4.2M
Multimodal Optical Imaging of Hyperdynamic Cerebral Responses to Cardiac Arrest and ResuscitationR21EB024793 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI AKBARI, YAMA · 2017 to 2019
$925k
NCATS NIH HHS KL2 TR001416NCATS NIH HHS TL1 TR001415NCATS NIH HHS UL1 TR001414NIBIB NIH HHS P41 EB015890NIBIB NIH HHS R21 EB024793
6 · The paper itself

Abstract

Cardiac arrest (CA) afflicts ~ 550,000 people each year in the USA. A small fraction of CA sufferers survive with a majority of these survivors emerging in a comatose state. Many CA survivors suffer devastating global brain injury with some remaining indefinitely in a comatose state. The pathogenesis of global brain injury secondary to CA is complex. Mechanisms of CA-induced brain injury include ischemia, hypoxia, cytotoxicity, inflammation, and ultimately, irreversible neuronal damage. Due to this complexity, it is critical for clinicians to have access as early as possible to quantitative metrics for diagnosing injury severity, accurately predicting outcome, and informing patient care. Current recommendations involve using multiple modalities including clinical exam, electrophysiology, brain imaging, and molecular biomarkers. This multi-faceted approach is designed to improve prognostication to avoid "self-fulfilling" prophecy and early withdrawal of life-sustaining treatments. Incorporation of emerging dynamic monitoring tools such as diffuse optical technologies may provide improved diagnosis and early prognostication to better inform treatment. Currently, targeted temperature management (TTM) is the leading treatment, with the number of patients needed to treat being ~ 6 in order to improve outcome for one patient. Future avenues of treatment, which may potentially be combined with TTM, include pharmacotherapy, perfusion/oxygenation targets, and pre/postconditioning. In this review, we provide a bench to bedside approach to delineate the pathophysiology, prognostication methods, current targeted therapies, and future directions of research surrounding hypoxic-ischemic brain injury (HIBI) secondary to CA.

Indexed as

Hypoxia-Ischemia, BrainAnimalsHeart ArrestHumansHypothermia, Inducedcardiac arrestdiffuse optical spectroscopyGlobal brain injuryhypoxic–ischemic brain injuryneuroprognosticationtargeted temperature management

Identifiers

PMID32367476
PMCPMC7283450
OpenAlexW3022135118

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.