Evidence map›Paper›PMID 36983617›Full record

ArticleJournal of personalized medicine2023

Emergence from General Anaesthesia: Can We Discriminate between Emergence Delirium and Postoperative Pain?

Marta Somaini, Thomas Engelhardt, Pablo Ingelmo

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. 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

3 authors at 2 institutions in 2 countries.

Marta SomainiDepartment of Anesthesia, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milano, Italy.
Thomas EngelhardtDepartment of Anesthesia, Montreal Children's Hospital, McGill University, Montreal, QC H4A3J1, Canada.
Pablo IngelmoDepartment of Anesthesia, Montreal Children's Hospital, McGill University, Montreal, QC H4A3J1, Canada.ORCID 0000-0001-6888-0102
Montreal Children's Hospital · CAAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unsettled behaviors characterize the early phase after general anaesthesia in the pediatric population in up to 80% of cases. Emergence delirium (ED) and acute pain are the two most relevant sources of this phenomenon. Research and clinical guidelines are difficult to implement due to the variability of the definition of unsettled behavior and measurement of the different components. The most probable incidence of ED is between 10% and 20%, and the potential risk factors could be summarized as young age, male gender, preoperative anxiety, baseline sleep-disordered breathing, volatile anaesthesia and ENT or ophthalmologic surgery. Self-reporting behavioral and observational scales are unable to reliably differentiate between ED and pain in a child who is not fully awake, making correct treatment choices difficult. This may lead to an undertreatment of pain in agitated children or to the overuse of opioids for self-limiting ED. This paper considers the current knowledge on the identification and treatment of ED and pain and provides a pragmatic approach for daily practice.

Indexed as

behavioral observation techniquesemergence deliriumgeneral anaesthesiapostoperative carepostoperative complicationpostoperative pain

Identifiers

PMID36983617
PMCPMC10051594
OpenAlexW4322619957

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.