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Record W4408732677 · doi:10.1097/gox.0000000000006568

Patients Tracking Pain Episodes Show Wide-awake Local Anesthesia Without Tourniquet Can Be Nearly Painless

2025· article· en· W4408732677 on OpenAlexaff
Jean Paul Brutus, Amir Adham Ahmad, Thomas Apard, Bianief Tchiloemba, Min Cheol Chang, Donald H. Lalonde

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2025
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsSaint John Regional HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineAnesthesiaTourniquetLocal anesthesiaAnxietyLocal anestheticSurgeryLidocaine

Abstract

fetched live from OpenAlex

Background: Minimally painful tumescent local anesthesia ensures patients feel only the first needle insertion, with no further pain. This technique includes real-time patient feedback, where they report each pain event during injection. Methods: This prospective study involved 154 consecutive patients undergoing wide-awake local anesthesia no tourniquet surgery at 3 hand surgery centers (January-April 2024). Patients objectively scored pain events during injection and rated pain intensity (0-10 Likert scale), intraoperative pain, anxiety, and overall experience. Results: During local anesthesia injection, 61 (40%) patients reported no pain, 92 (59.7%) reported 1 pain event, and 1 (0.7%) patient reported 2 events. Among the 93 patients who felt pain, 90 reported only mild discomfort (1-2 of 10), whereas 3 reported moderate pain (3-5 of 10). Anxiety levels during anesthesia and surgery were 3 of 10 or less for 147 (95.5%) patients. Conclusions: Real-time patient feedback improved surgeons' ability to administer tumescent local anesthesia with minimal pain. As a result, most patients experienced no pain or only 1 minor event during local anesthesia injection for wide-awake local anesthesia no tourniquet 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 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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.268
Teacher spread0.247 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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