Evidence map›Paper›PMID 32582735›Full record

ReviewFrontiers in medicine2020

Electroencephalography: Clinical Applications During the Perioperative Period.

Yi Sun, Changwei Wei, Victoria Cui, Meihong Xiu, Anshi Wu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    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

5 authors at 3 institutions in 2 countries.

Yi SunDepartment of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Changwei WeiDepartment of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Victoria CuiDepartment of Anesthesiology, Washington University School of Medicine, St. Louis, MO, United States.
Meihong XiuPeking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China.
Anshi WuDepartment of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Beijing Chao-Yang Hospital · CNBeijing HuiLongGuan Hospital · CNWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalography (EEG) monitoring has become technically feasible in daily clinical anesthesia practice. EEG is a sensitive method for detecting neurophysiological changes in the brain and represents an important frontier in the monitoring and treatment of patients in the perioperative period. In this review, we briefly introduce the essential principles of EEG. We review EEG application during anesthesia practice in the operating room, including the use of processed EEG in depth of anesthesia assessment, raw EEG monitoring in recognizing brain states under different anesthetic agents, the use of EEG in the prevention of perioperative neurocognitive disorders and detection of cerebral ischemia. We then discuss EEG utilization in the intensive care units, including the use of EEG in sedative level titration and prognostication of clinical outcomes. Existing literature provides insight into both the advances and challenges of the clinical applications of EEG. Future study is clearly needed to elucidate the precise EEG features that can reliably optimize perioperative care for individual patients.

Indexed as

cerebral ischemiacognitive functiondepth of anesthesiaEEGprognostication

Identifiers

PMID32582735
PMCPMC7296088
OpenAlexW3035757991

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.