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Lateral cervical epidural catheter placement using nerve stimulation for continuous unilateral upper extremity analgesia following a failed continuous peripheral nerve block

2005· article· en· W2050115448 on OpenAlexaff
Christopher Prusinkiewicz, S. A. Lang, Ban C. H. Tsui

Bibliographic record

VenueActa Anaesthesiologica Scandinavica · 2005
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of CalgaryUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineDermatomeRopivacaineAnesthesiaFentanylCatheterSurgeryTuohy needleBolus (digestion)Nerve blockBrachial plexusInterventional pain managementPain management

Abstract

fetched live from OpenAlex

This case report describes the application of electrical stimulation (Tsui test) to confirm placement of a cervical epidural catheter for postoperative pain management in a patient with a failed brachial plexus block who underwent upper extremity surgery. An epidural catheter was easily advanced under nerve stimulation guidance to the surgical dermatome C4 level without any resistance from the C7-T1 level. Successful analgesia was achieved with a bolus of 2 mg ml(-1) ropivacaine 2 ml and fentanyl 20 microg, followed by a continuous infusion of 2 mg ml(-1) ropivacaine with 2 microg ml(-1) of fentanyl at a rate of 2 ml h(-1). This case reminds the clinician that cervical epidural analgesia may serve as an alternative to a difficult continuous peripheral nerve block. Electrical stimulation may also help to confirm cervical epidural catheter placement at the appropriate dermatome to provide effective analgesia with minimal side-effects.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.025
GPT teacher head0.284
Teacher spread0.259 · 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 designCase report
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

Citations16
Published2005
Admission routes1
Has abstractyes

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