Evidence map›Paper›PMID 34594398›Full record

ArticleComputational and mathematical methods in medicine2021

Monitoring of Anesthesia by Bispectral Analysis of EEG Signals.

Lamia Bouafif

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Intraoperative Awareness during Rhinoplasty.AHRQ WebM&M : morbidity & mortality rounds on the Web · 2024
    Article
  5. 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

1 author.

Lamia BouafifNational Institute of Biomedical Studies of Tunis-Image and Signal Processing Laboratory ENIT, University of Tunis Manar, Tunisia.ORCID https://orcid.org/0000-0002-1192-4511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn intensive care, monitoring the depth of anesthesia during surgical procedures is a key element in the success of the medical operation and postoperative recovery. However, despite the development of anesthesia thanks to technological and pharmacological advances, its side effects such as underdose or overdose of hypnotics remain a major problem. Observation and monitoring must combine clinical observations (loss of consciousness and reactivity) with tools for real-time measurement of changes in the depth of anesthesia.

conclusionThis study showed that the BIS technology led to an optimization of the anesthetic management, the adequacy of the hypnotic dosage, and a better postoperative recovery.

Indexed as

Anesthesia, GeneralAlgorithmsAnesthetics, InhalationBrain WavesComputational BiologyElectroencephalographyElectrophysiological PhenomenaHumansHypnotics and SedativesIntraoperative Neurophysiological MonitoringPropofolSevofluraneSleep StagesWavelet AnalysisAnesthetics, InhalationHypnotics and SedativesPropofolSevoflurane

Identifiers

PMID34594398
PMCPMC8478546
OpenAlexW3198921895

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.