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Record W4412946904 · doi:10.4097/kja.25422

Costoclavicular brachial plexus block for shoulder surgery: a narrative review

2025· review· en· W4412946904 on OpenAlexaff
Samita Pirotesak, Reef Alruqaie, Karoll Rodelo, Julián Aliste

Bibliographic record

VenueKorean journal of anesthesiology · 2025
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcGill University Health CentreMontreal General Hospital
Fundersnot available
KeywordsMedicineBrachial plexusShoulder surgerySurgery

Abstract

fetched live from OpenAlex

The costoclavicular block is a proximal approach for blocking the brachial plexus in the infraclavicular fossa. Whether the costoclavicular block offers advantages over lateral paracoracoid approaches has been debated. However, diaphragm-sparing anesthesia for shoulder surgery has recently reignited interest in the costoclavicular space. In this review, we examine the costoclavicular block as an alternative to the interscalene block for shoulder surgery, focusing on minimizing involvement of the phrenic nerve. We conducted a systematic search of MEDLINE, EMBASE, and Google Scholar databases using the search terms "costoclavicular block" and "shoulder surgery," to identify relevant studies published up to April 2025. Only randomized trials meeting rigorous inclusion criteria, i.e., those that were prospectively registered, used blinded assessment, and provided sample size justification, were included. The findings of these studies suggested that local anesthetic deposition in the costoclavicular space can reliably anesthetize the brachial plexus cords, achieving a high rate of suprascapular nerve blockade, while sparing the diaphragm. The effectiveness of the anesthesia and analgesia provided by this block depends on use of the appropriate local anesthetic volume and concentration. Further research is needed to validate these findings. Nevertheless, the evidence to date indicates that the costoclavicular block is a promising alternative for patients at risk of respiratory insufficiency secondary to hemidiaphragmatic paralysis.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.047
GPT teacher head0.364
Teacher spread0.317 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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