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Epidural Volume Extension During Combined Spinal-Epidural Labor Analgesia Does Not Increase Sensory Block

2017· article· en· W2587982374 on OpenAlexaff
Valérie Zaphiratos, Ronald B. George, Bruce Macaulay, Prasad Bolleddula, Dolores M. McKeen

Bibliographic record

VenueObstetric Anesthesia Digest · 2017
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMedicineEpidural spaceAnesthesiaEpidural blockCombined spinal epiduralMotor blockSalineLocal anestheticSensory systemAnestheticBlock (permutation group theory)Epidural administrationBupivacaineSurgery

Abstract

fetched live from OpenAlex

(Anesth Analg. 2016;123:684–689) Combined spinal-epidural (CSE) provides faster and better first-stage analgesia and fewer epidural top-up boluses than traditional epidural methods. Deliberate injection into the epidural space can increase anesthetic level. This mechanism, referred to as epidural volume extension (EVE), is not fully understood; the fluid in the epidural space may be compressing the dural sac. The current authors thus tested 2 hypotheses. First, an epidural injection of 10 mL normal saline while initiating CSE would increase the initial anesthetic sensory block height by 15 minutes. Second, compared with CSE alone, CSE with EVE would result in a higher sensory block at 30 minutes while decreasing pain scores, analgesia onset time, and motor block.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0030.000

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 head0.018
GPT teacher head0.256
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes1
Has abstractyes

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