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Record W2430512377

[Time to bury the adrenaline-myth!--Safe use of adrenaline anesthesia in hand surgery and orthopedics].

2015· article· en· W2430512377 on OpenAlexaff
Elisabet Hagert, Donald H. Lalonde

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsEpinephrineMedicineTourniquetLidocaineAnesthesiaOrthopedic surgerySurgery
DOInot available

Abstract

fetched live from OpenAlex

The epinephrine myth originated in the 1940s, when acidic (pH 1) procaine-epinephrine was injected into fingers, causing finger necrosis. Today, level 1 evidence exists for the safe use of epinephrine in fingers. The ability to use lidocaine-epinephrine in hand surgery and orthopedics eliminates the need for a tourniquet, or "bloodless field". Surgery using Wide Awake, Lidocaine-epinephrine Anesthesia, No Tourniquet (WALANT) reduces patient discomfort, facilitates patient participation in surgery, improves safe outcomes following reconstructions and greatly reduces the cost of medical care. Furthermore, patients regarded as high-risk can be safely treated without risk of cardiac or pulmonary side effects. In this manuscript, the background of the epinephrine myth is described, as well as recommended use of WALANT in hand surgery and orthopedics.

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)0.001
metaresearch head score (Gemma)0.010
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0150.014

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 head0.054
GPT teacher head0.244
Teacher spread0.190 · 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
GenreCommentary

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

Citations11
Published2015
Admission routes1
Has abstractyes

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