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Record W4224222917 · doi:10.1142/s2424835522300031

Ten Questions About Wide Awake Local Anaesthesia No Tourniquet (WALANT) Surgery

2022· review· en· W4224222917 on OpenAlexaff
Donald H. Lalonde

Bibliographic record

VenueThe Journal of Hand Surgery (Asian-Pacific Volume) · 2022
Typereview
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsMedicineTourniquetSedationSurgeryAnesthesia

Abstract

fetched live from OpenAlex

The aim of this review article is to provide many important tips and tricks for surgeons to start Wide Awake Local Anaesthesia No Tourniquet (WALANT) hand surgery in their practice. The massive cost reduction of this disruptive new approach will enable them to increase access to hand surgery for their patients who cannot afford unnecessary sedation or unnecessary sterility of the expensive main operating room environment. Evidence-based sterility will permit surgeons to move a lot of their surgery out of the main operating room to minor procedure rooms without a significant increase in infection rates. Important pointers on how to inject minimally painful local anaesthesia will have patients thinking the surgeon injector is a bit of a magician. WALANT enables surgeons to improve the outcomes of many hand surgery procedures. Level of Evidence: Level V (Therapeutic)

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)0.012
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.285
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 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

Citations18
Published2022
Admission routes1
Has abstractyes

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