Category‐1 caesarean section, airways and Julius Caesar. A reply
Notice bibliographique
Résumé
We thank Sorbello and Micaglio for their comments. We agree that pregnant patients present unique challenges for airway management 1. In our study on anaesthesia management for emergency caesarean delivery in women with predicted difficult intubation/ventilation 2, literature searches focused on data sources exclusively from obstetric patients. However, in some nodes on the decision tree, obstetric data was unavailable and we had no alternative but to make some assumptions and extrapolate data from non-obstetric situations (e.g. obese patients). It is likely that the true (unknown) obstetric data would be somewhat different, but based on our sensitivity analysis 2, this would not impact greatly on the final outcome of our study. Yentis wrote that while decision analysis “involves many assumptions and estimations” it “emphasises the role of using such evidence as exists in a more structured and focused way” 3. By contrast, he stated that the traditional decision making process “relies purely on assumptions and estimations–worse, there is no structured incorporation of evidence or estimation of actual likelihoods at all. Instead the process is entirely intuitive”. In light of these remarks, we challenge both clinical assertions made by Sorbello and Micaglio, firstly that “regional anaesthesia should not even be attempted if difficult ventilation is anticipated”, and secondly, that “awake technique is preferable if there is anticipated difficult ventilation”. We do not agree that regional anaesthesia should not be attempted. In fact, most obstetric anaesthetists would prefer regional anaesthesia under these circumstances if time permitted and appropriate backup equipment was available 4. Indeed, the most important contribution of epidural labour analgesia to maternal safety has been the ability to rapidly and safely convert epidural labour analgesia to surgical anaesthesia for unscheduled caesarean delivery. This advantage is particularly beneficial in mothers with predicted difficult intubation and difficult ventilation. We agree that rapid sequence induction with videolaryngoscopy (RSI-VL) is not ideal 5, but the scenario under discussion involved a time-critical category-1 caesarean section. The key message of our paper is that the time for successful airway management in RSI-VL was 100 (87–114) s, vs. 9 min for awake fibreoptic intubation and 6.3 min for rapid spinal. The risks of RSI-VL are relatively low (21 incidents per 100,000), and we consider them to be acceptable if slower techniques would entail much greater long-term risks to the fetus. Although we disagree with Sorbello and Micaglio, such disagreement is legitimate; maybe their intuition and experience are different from ours. This is exactly why an attempt to obtain and marshal literature-based evidence is so important. Where direct evidence is lacking and where the question is not amenable to a randomised clinical trial, decision analysis may provide a literature-based estimation of likely outcomes. Otherwise, to echo their quote from Julius Caesar, ‘libenter homines id quod volunt credunt’ (man will readily believe what he wishes to be true).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».