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Nitrous oxide as an adjunct in tumescent liposuction

2005· article· en· W2050891034 on OpenAlex
Garrett Bird, Clifford Albert

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Cosmetic Dermatology · 2005
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsQueen Elizabeth II Health Sciences CentreMcGill University
Fundersnot available
KeywordsLiposuctionMedicineAmbulatorySurgeryAdjunctNitrous oxideAnestheticAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Nitrous oxide (N(2)O) has been used as an anesthetic for over 300 years. It is safe, easy to use, and effective. In this article we will document N(2)O use as an adjunct to tumescent liposuction. The history, mechanism of action, use, and safety in ambulatory surgery of N(2)O are reviewed. OBJECTIVE: The authors intend to review the history of both tumescent liposuction and N(2)O in surgery, discuss the possible adverse reactions, and present guidelines for the use of N(2)O during tumescent liposuction. METHODS: A Medline review of articles, 1966-2004, related to N(2)O was performed, using the search terms nitrous, oxide, safety, toxicity, mechanism, anesthetic, surgery, risks, and delivery. Articles that were cited by the authors of this subset of original articles were also used when appropriate. Articles were rated and included based on date of publication, level of evidence, and applicability to tumescent liposuction. RESULTS AND CONCLUSIONS: Nitrous oxide is safe, easily administered, inexpensive, and is an effective adjunct to tumescent liposuction. It provides a high level of pain control, and is patient controlled, while not putting the patient at risk of full anesthesia. When used correctly, with proper equipment, it poses little risk to either patients or healthcare workers.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.279
Teacher spread0.269 · 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