Evidence map›Paper›PMID 33110400›Full record

ReviewCurrent anesthesiology reports2020

Use of Processed Electroencephalography in the Clinical Setting.

David A Mulvey, Peter Klepsch

Abstract readReview
In one paragraph

Review in Current anesthesiology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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.

David A MulveyDepartment of Anaesthesia, University Hospitals of Derby & Burton NHS Trust, Uttoxeter Road, Derby, DE22 3NE UK.
Peter KlepschDepartment of Anaesthesia, North Bristol NHS Trust, Southmead Road, Bristol, BS10 5NB UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewProcessed electroencephalography (pEEG) is widely used in clinical practice. Few clinicians utilize the full potential of these devices. This brief review will address the improvements in patient management available from the utilization of all pEEG data. RECENT

findingsAnesthesiologists easily learn to recognize raw pEEG patterns that are consistent with an appropriate level of hypnotic effect. Power distribution within the waveform can be displayed in a visual format that identifies signatures of the principal anesthetic hypnotics. Opinion on the benefit of pEEG data in the mitigation of postoperative neurological impairment remains divided. SUMMARY: Looking beyond the index number can aid clinical decision making and improve confidence in the benefits of this monitoring modality.

Indexed as

Alpha/delta patternBISBispectral indexDensity spectral arrayExcessive anesthesiapEEGPostoperative neurological deteriorationPower spectraProcessed electroencephalography

Identifiers

PMID33110400
PMCPMC7581499

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.