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Record W3012303969 · doi:10.1136/rapm-2019-101260

Intertruncal approach to the supraclavicular brachial plexus, current controversies and technical update: a daring discourse

2020· article· en· W3012303969 on OpenAlexaff
Urooj Siddiqui, Anahi Perlas, Ki-Jinn Chin, Miguel Ángel Reina, Xavier Sala‐Blanch, Ahtsham U. Niazi, Vincent Chan

Bibliographic record

VenueRegional Anesthesia & Pain Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsBrachial plexusMedicineAnatomyLocal anestheticPneumothoraxClavicleSurgery

Abstract

fetched live from OpenAlex

We propose a new approach to local anesthetic injection for the supraclavicular brachial plexus block: an intertruncal approach by which local anesthetic is deposited in the two adipose tissue planes between the upper and middle and the middle and lower trunks. We present sonographic and microscopic images to illustrate the relevant anatomy. This approach offers potential advantages over the 'corner pocket' technique in that it results in consistent local anesthetic spread to the three plexus trunks and the needle endpoint lies farther away from the pleural surface which is important for the prevention of pneumothorax. It also offers an advantage over the 'intracluster' approach as it purposefully avoids intraneural injection respecting the integrity of the epineurium of individual trunks. Comparative studies are required to confirm that these anatomic and technical advantages result in improved outcomes.

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.006
Scholarly communication0.0040.009
Open science0.0020.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.028
GPT teacher head0.284
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations34
Published2020
Admission routes1
Has abstractyes

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