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Record W4410781114 · doi:10.1213/xaa.0000000000001982

Cervical Epidural for an Urgent Bilateral Shoulder Surgery: A Case Report

2025· article· en· W4410781114 on OpenAlexaff
Ibrahim Fayad, M. D. Rollins, Ashraf Fayad

Bibliographic record

VenueA&A Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsLakeridge HealthUniversity of Ottawa
Fundersnot available
KeywordsMedicineSurgeryAnesthesiaShoulder surgeryParalysisBrachial plexus

Abstract

fetched live from OpenAlex

Effective postoperative analgesia for bilateral shoulder arthroplasties may represent a challenge to anesthesiologists. While the interscalene nerve block is commonly used to provide intraoperative and postoperative analgesia, bilateral interscalene block is not feasible due to phrenic nerve paralysis risk. Alternative phrenic nerve-sparing techniques may be considered; however, these often require multiple injections and may not offer comprehensive pain relief. We present a 62-year-old post-lung transplant man with bilateral shoulder dislocation and humerus fracture requiring urgent bilateral shoulder arthroplasties. A cervical epidural was used intraoperatively with general anesthesia and postoperatively for analgesia. The patient recovered uneventfully and was discharged postoperative day 6 (POD 6).

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)0.004
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0050.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.063
GPT teacher head0.386
Teacher spread0.323 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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