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Record W4322619957 · doi:10.3390/jpm13030435

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

2023· article· en· W4322619957 on OpenAlexaff
Marta Somaini, Thomas Engelhardt, Pablo Ingelmo

Bibliographic record

VenueJournal of Personalized Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsMcGill University Health CentreMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsDeliriumMedicineEmergence deliriumObservational studyAnxietyLimitingIncidence (geometry)PopulationGeneral anaesthesiaAnesthesiaIntensive care medicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.328
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2023
Admission routes1
Has abstractyes

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