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Record W1979838781 · doi:10.1097/aco.0b013e32834aa234

Ultrasonography of the lumbar spine for neuraxial and lumbar plexus blocks

2011· review· en· W1979838781 on OpenAlexaff
Ki Jinn Chin, Anahi Perlas

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2011
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineUltrasoundLumbarLumbar plexusBlockadeContext (archaeology)Neuraxial blockadeMagnetic resonance imagingRadiologyUltrasonographyAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Ultrasonography of the spine has evolved into a well described technique that can be applied to facilitate neuraxial and lumbar plexus blockade. RECENT FINDINGS: There is increasing evidence for the clinical benefits of ultrasound imaging prior to administration of neuraxial blockade. Recent randomized controlled trials have shown that efficacy of epidural analgesia is improved, and the technical difficulty of spinal and epidural anaesthesia is reduced. Ultrasound imaging may also permit more accurate prediction of the depth to epidural and intrathecal spaces and more accurate identification of intervertebral levels. The use of ultrasound in lumbar plexus blockade has been described in the context of both preprocedural imaging and real-time needle guidance; however, its clinical benefit in this setting has not yet been clearly established. SUMMARY: Preprocedural ultrasound imaging of the spine may reduce the technical difficulty of neuraxial blockade and also improve clinical efficacy. Similar benefits are expected in the setting of lumbar plexus blockade although there is currently no evidence to confirm this. Real-time ultrasound-guided neuraxial and lumbar plexus blockade are challenging techniques that need further validation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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)0.0000.000

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 head0.111
GPT teacher head0.372
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations53
Published2011
Admission routes1
Has abstractyes

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