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Record W4396813413 · doi:10.1530/eor-24-0033

WALANT surgery of the hand: state of the art

2024· article· en· W4396813413 on OpenAlexaff
Ilse Degreef, Donald H. Lalonde

Bibliographic record

VenueEFORT Open Reviews · 2024
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsSaint John Regional HospitalDalhousie University
FundersFonds Wetenschappelijk Onderzoek
KeywordsTourniquetMedicineLidocaineSurgeryEpinephrineSedationAnesthesia

Abstract

fetched live from OpenAlex

Wide-awake local anesthesia no tourniquet is named the WALANT technique. WALANT has had a major positive impact on cost, convenience, ecology, patient satisfaction, access to surgical care, and outcomes in hand surgery in the last 20 years. Safe and efficient application of the technique is based on two principles. The first principle is the tumescent injection of a large volume low concentration 0.25-1% lidocaine, with 1:100 000-1:400 000 epinephrine. The second principle of WALANT is that the proper injection should be almost painless, with the patient only feeling the first needle poke of a tiny 30G needle. This wide awake patient approach reduces pain, neuropraxia, and systemic side effects of sedation with preservation of motor control, thereby aiding balanced reconstruction in hand 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)0.002
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.003

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 head0.328
Teacher spread0.281 · 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
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

Citations32
Published2024
Admission routes1
Has abstractyes

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