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Record W2739270444 · doi:10.1016/j.rboe.2017.05.006

Is it safe to use local anesthesia with adrenaline in hand surgery? WALANT technique

2017· article· en· W2739270444 on OpenAlexaboutno aff
Pedro José Pires Neto, Leonardo de Andrade Moreira, Priscilla Pires de Las Casas

Bibliographic record

VenueRevista Brasileira de Ortopedia (English Edition) · 2017
Typearticle
Languageen
FieldDentistry
TopicDental Anxiety and Anesthesia Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnestheticReduction (mathematics)Local anestheticSurgeryAnesthesia

Abstract

fetched live from OpenAlex

In the past it was taught that local anesthetic should not be used with adrenaline for procedures in the extremities. This dogma is transmitted from generation to generation. Its truth has not been questioned, nor the source of the doubt. In many situations the benefit of use was not understood, because it was often thought that it was not necessary to prolong the anesthetic effect, since the procedures were mostly of short duration. After the disclosure of studies of Canadian surgeons, came to understand that the benefits went beyond the time of anesthesia. The WALANT technique allows a surgical field without bleeding, possibility of information exchange with the patient during the procedure, reduction of waste material, reduction of costs, and improvement of safety. Thus, after passing through the initial phase of the doubts in the use of this technique, the authors verified its benefits and the patients' satisfaction in being able to immediately return home after the procedures.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
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 head0.028
GPT teacher head0.278
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

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

Citations50
Published2017
Admission routes1
Has abstractyes

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Same venueRevista Brasileira de Ortopedia (English Edition)Same topicDental Anxiety and Anesthesia TechniquesFrench-language works237,207