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Record W2152028862 · doi:10.1177/229255030301100408

How Long does it Take Phentolamine to Reverse Adrenaline-Induced Vasoconstriction in the Finger and Hand? A Prospective, Randomized, Blinded Study: The Dalhousie Project Experimental Phase

2003· article· en· W2152028862 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsPhentolamineMedicineLidocaineSalineVasoconstrictionAnesthesiaSurgeryGynecologyPropranolol

Abstract

fetched live from OpenAlex

At the Dalhousie Plastic Surgery Alumni Reunion at the Atlantic Plastic Surgery meeting in Halifax, Nova Scotia, in September 2001, 22 subjects, including 18 certified hand surgeons, were injected with 1.8 mL of 2% lidocaine with 1:100,000 adrenaline in three places in one finger of each hand. One hour later, the same sites of one hand were injected with phentolamine (1 mg in 1 mL), and the other hand was injected with saline. Subjects were blinded as to which hand received the phentolamine. It took an average of 85 min for the adrenaline-injected fingers to return to normal colour after phentolamine injection. It took an average of 320 min for the adrenaline-injected fingers to return to normal colour after saline injection (no phentolamine). We also observed that lidocaine with adrenaline provided an average of 549 min of anesthesia in nonphentolamine-injected fingers. Phentolamine consistently and reliably reversed adrenaline-induced vasoconstriction in the finger.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.047
GPT teacher head0.296
Teacher spread0.249 · 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