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Record W3174708512 · doi:10.31486/toj.20.0020

Rhomboid Intercostal Block Combined With Interscalene Nerve Block for Sternoclavicular Joint Reconstruction

2021· article· en· W3174708512 on OpenAlexaff
Chihiro Toda, Rajnish K. Gupta, Hesham Elsharkawy

Bibliographic record

VenueOchsner Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsWestern University
Fundersnot available
KeywordsSternoclavicular jointMedicineIntercostal nervesRhomboidClavicleSurgeryBlock (permutation group theory)Rib cageBrachial plexus blockNerve blockBrachial plexusAnesthesiaAnatomy

Abstract

fetched live from OpenAlex

Background: Rhomboid intercostal block is a newer technique for chest wall analgesia and can be an effective alternative to thoracic epidurals and paravertebral blocks. We performed a rhomboid intercostal block after sternoclavicular joint reconstruction surgery. Case Report: A healthy 26-year-old male who had chronic right sternoclavicular joint instability was scheduled for right medial clavicle resection with sternoclavicular joint allograft reconstruction. We performed a right interscalene single-shot nerve block followed by a rhomboid intercostal block with catheter placement under ultrasound guidance. The patient9s pain was well controlled postoperatively with minimal use of opioids. Conclusion: Rhomboid intercostal block with brachial plexus block is a potential option for analgesia after sternoclavicular joint reconstruction surgery.

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.242
Teacher spread0.225 · 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
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

Citations5
Published2021
Admission routes1
Has abstractyes

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