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Onset of Labour Epidural Analgesia With Low-dose Bupivacaine and Different Doses of Fentanyl

2018· article· en· W2888706976 on OpenAlexaff
Rafel Sai, Shreshtha Singh, Fatemah Qasem, Derek L. Nguyen, Shalini Dhir, K. Marmai, Ramina Adam, Philip M. Jones

Bibliographic record

VenueObstetric Anesthesia Digest · 2018
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineFentanylBupivacaineAnesthesiaMotor blockLocal anestheticBolus (digestion)Surgery

Abstract

fetched live from OpenAlex

( Anaesthesia 2017;72:1371–1378) While low-concentration local anesthetic solutions combined with opioids have been shown to decrease motor block without affecting the quality of labor analgesia, the onset of analgesia may be delayed when using these solutions. Previous studies have suggested that the onset of labor analgesia may be improved by the addition of a fentanyl bolus to the initial epidural dose. However, previous studies that evaluated the onset of time of epidural labor analgesia used higher concentrations of local anesthetics than are commonly used in current practice. This dose-comparison study aimed to evaluate the onset of epidural labor analgesia with different doses of fentanyl (20, 50, and 100 μg) administered with a low-concentration bupivacaine (0.08%) solution.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2018
Admission routes1
Has abstractyes

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