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Tourniquet and Subcutaneous Epinephrine Reduce Blood Loss During Burn Excision and Immediate Autografting

2001· article· en· W2054023944 on OpenAlexaff
S. Djurickovic, C. F. T. Snelling, James C. Boyle

Bibliographic record

VenueJournal of Burn Care & Rehabilitation · 2001
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsRoyal Jubilee Hospital
Fundersnot available
KeywordsMedicineTourniquetEpinephrineAnesthesiaBlood volumeSurgeryBlood lossSalineEscharBlood flowInternal medicine

Abstract

fetched live from OpenAlex

Blood loss has been reduced using both tourniquets and epinephrine-injected subeschar during burn wound excision. This study quantified and compared blood loss in extremities distal to an inflated tourniquet with that after subeschar infusion of 1:1,000,000 epinephrine in saline into the trunk or proximal extremities. Tangential excision of eschar to viable dermis or fat was followed by immediate application of meshed autograft. Blood loss was calculated by determining the difference of preoperative and postoperative hemoglobin values and the volume of whole blood administered between these. With tourniquets for limbs, 2.07 +/- 0.34% of circulating blood volume per 1% body surface excised was lost; whereas after epinephrine injection 3.42 +/- 0.39% of blood volume per 1% body surface excised was lost (P < 0.05). Both methods effectively reduced blood loss when compared with excision followed by delayed autograft application. Where there was a choice the tourniquet was more effective.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.293
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.007
GPT teacher head0.270
Teacher spread0.263 · 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.

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

Citations43
Published2001
Admission routes1
Has abstractyes

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