Evidence map›Paper›PMID 35069132›Full record

ReviewFrontiers in systems neuroscience2021

Burst Suppression During General Anesthesia and Postoperative Outcomes: Mini Review.

Niti Pawar, Odmara L Barreto Chang

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in systems neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05906225 (The Impact of Electroencephalogram), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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.

NCT05906225 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Impact of Electroencephalogram (EEG) - Guided Inhalational Anesthetic Control on the Occurrence of EEG Discontinuity in Infants: A Prospective Randomized Controlled Trial

TypeinterventionalSponsorSeoul National University HospitalRan2023 to 2025Enrolled78ConditionsAnesthesia, General, Electroencephalography, Infant, Anesthesia, InhalationArmsEEG guided anesthesia, Conventional anesthesia
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 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

2 authors at 1 institution in 1 country.

Niti PawarDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
Odmara L Barreto ChangDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, burst suppression has been increasingly studied by many to examine whether it is a mechanism leading to postoperative cognitive impairment. Despite a lack of consensus across trials, the current state of research suggests that electroencephalogram (EEG) burst suppression, duration and EEG emergence trajectory may predict postoperative delirium (POD). A mini literature review regarding evidence about burst suppression impact and susceptibilities was conducted, resulting in conflicting studies. Primarily, studies have used different algorithm values to replace visual burst suppression examination, although many studies have since emerged showing that algorithms underestimate burst suppression duration. As these methods may not be interchangeable with visual analysis of raw data, it is a potential factor for the current heterogeneity between data. Even though additional research trials incorporating the use of raw EEG data are necessary, the data currently show that monitoring with commercial intraoperative EEG machines that use EEG indices to estimate burst suppression may help physicians identify burst suppression and guide anesthetic titration during surgery. These modifications in anesthetics could lead to preventing unfavorable outcomes. Furthermore, some studies suggest that brain age, baseline impairment, and certain medications are risk factors for burst suppression and postoperative delirium. These patient characteristics, in conjunction with intraoperative EEG monitoring, could be used for individualized patient care. Future studies on the feasibility of raw EEG monitoring, new technologies for anesthetic monitoring and titration, and patient-associated risk factors are crucial to our continued understanding of burst suppression and postoperative delirium.

Indexed as

burst suppressioncognitive declineelectroencephalogram–EEGgeriatricpostoperative delirium (POD)postoperative outcomes

Identifiers

PMID35069132
PMCPMC8776628
OpenAlexW4206439137

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.