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Record W2740746172 · doi:10.1097/sa.0000000000000314

Evidence Basis for Using Perineural Dexmedetomidine to Enhance the Quality of Brachial Plexus Nerve Blocks

2017· article· en· W2740746172 on OpenAlexaff
Leon Vorobeichik, Richard Brull, Faraj W. Abdallah

Bibliographic record

VenueSurvey of Anesthesiology · 2017
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineDexmedetomidineAnesthesiaBrachial plexusLocal anestheticBrachial plexus blockRandomized controlled trialMeta-analysisNerve blockPeripheral nerveBlockadeSurgeryInternal medicineSedation

Abstract

fetched live from OpenAlex

(Abstracted from Br J Anaesth, 118:167–181, 2017) The purpose of this meta-analysis of randomized controlled trials (RCTs) and systematic review is to reassess the effectiveness of perineural dexmedetomidine, used as an adjunct to local anesthetic (LA), in prolonging and improving brachial plexus block (BPB) considering new studies that have emerged since the prior meta-analysis. In this analysis, 34 full-text RCTs looking at the effect of dexmedetomidine on duration of single-shot BPB were analyzed in a systematic way.

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)0.030
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.085
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.024
Bibliometrics0.0050.004
Science and technology studies0.0000.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.195
GPT teacher head0.423
Teacher spread0.228 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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