Comment réduire l’anxiété d’un enfant qui doit être anesthésié ?
Bibliographic record
Abstract
La période périopératoire est une situation entraînant une anxiété importante. Cette anxiété peut perturber le comportement. Deux types de techniques anxiolytiques sont décrites : médicamenteuse avec une supériorité des agonistes α2 adrénergiques et non médicamenteuse de distraction. L’information délivrée en consultation est une étape fondamentale dans la gestion de l’anxiété périopératoire. La prémédication idéale est probablement multimodale (médicamenteuse et non médicamenteuse), adaptée à chaque enfant. The perioperative period is prone to induce anxiety in children scheduled for surgery. Reduction of anxiety is important to avoid postoperative behavioural troubles. It can be achieved using two types of techniques: sedative premedication, especially using alpha 2 adrenergic agonist, and distraction technique. Each anaesthesiologist has to consider the critical value of information of parents and children during consultation to decrease preoperative anxiety. The ideal premedication is likely to be multimodal (pharmacological and non-pharmacological), adapted to each child.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".