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Opioids for Cesarean Delivery Under General Anesthesia and Neonatal Outcome: A Historical Cohort Study

2023· article· en· W4377966960 on OpenAlexaff
Natasha Caissie, Jennifer Héroux, Maxime Lefebvre, Daphnée Lamarche, M-C. Dubois, Geneviève Rivard, Frédérick D’Aragon

Bibliographic record

VenueObstetric Anesthesia Digest · 2023
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineAnesthesiaOpioidCesarean deliveryIntubationPregnancyObstetric anesthesiaLaryngoscopyBlood pressureInternal medicine

Abstract

fetched live from OpenAlex

( Can J Anesth/J Can Anesth. 2022;69:1017–1024)) While general anesthesia (GA) is not the preferred technique for cesarean delivery (CD), due to the risk of gastric aspiration, it is sometimes used for emergent delivery or in the setting of contraindications to neuraxial anesthesia. Opioids are often used in nonobstetric populations during anesthesia to attenuate the hemodynamic response to laryngoscopy. In pregnant patients with hypertensive disorders of pregnancy, opioids are used to avoid exaggerated sympathetic responses to intubation. However, beta-blockers, vasodilators, or magnesium are considered just as effective in stabilizing blood pressure as opioids in this population. Since opioids are associated with an increased risk of neonatal respiratory depression, their use in GA for cesarean is not common. This study aimed to describe the current use of opioids during GA for CD, find potential predictors of opioid use in pregnant patients, and investigate the association between opioid use and neonatal outcomes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.283
Teacher spread0.252 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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