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Record W4385064837 · doi:10.2106/jbjs.rvw.23.00068

Adoption of the Wide-Awake Local Anesthesia No Tourniquet Technique in Hand Surgery

2023· article· en· W4385064837 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJBJS Reviews · 2023
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsMedicineTourniquetLidocaineAnesthesiaLocal anesthesiaHand surgeryEpinephrineSurgerySedationPatient satisfaction

Abstract

fetched live from OpenAlex

» Wide-awake local anesthesia no tourniquet (WALANT) technique featuring tumescent infiltration of lidocaine with epinephrine at the operative site has broad application in hand surgery including both soft-tissue and bone procedures.» The advantages of wide-awake anesthesia include high patient satisfaction, preserved intraoperative finger and wrist motion, cost-effectiveness, improved operating room efficiency, fewer opioids during recovery, and improved access to hand surgery, which may be performed in an office-based setting without the need for anesthesia personnel.» In properly selected patients, use of lidocaine with epinephrine in the hand and fingers is safe. Rare postprocedure digital ischemia may be effectively treated with phentolamine rescue.» Barriers to adopting wide-awake anesthesia may be overcome by educating resistant stakeholders, including hospital administrators, nurse leaders, and anesthesia colleagues, about the advantages of the WALANT method.» The risk of postoperative complications after hand procedures may be mitigated by using the wide-awake technique instead of regional anesthesia with sedation or general anesthesia.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.452
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.035
GPT teacher head0.285
Teacher spread0.250 · 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