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Record W2970461902 · doi:10.1093/jbcr/irz152

Surgical Escharotomy and Decompressive Therapies in Burns

2019· review· en· W2970461902 on OpenAlexaboutno aff
C. Caleb Butts, James H. Holmes, Jeffrey E Carter

Bibliographic record

VenueJournal of Burn Care & Research · 2019
Typereview
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEscharIntensive care medicineBurn injuryEconomic shortageResuscitationSurgery

Abstract

fetched live from OpenAlex

Early recognition of the need for escharotomy and other decompressive therapies is imperative for experienced burn providers, as to avoid reversible tissue ischemia and necrosis. With full-thickness burns, the eschar that develops is largely noncompliant. The predictable edema that develops during resuscitation of larger burns increases the likelihood ischemia-inducing pressure, as the underlying tissues swell within noncompliant skin, resulting in burn-induced compartment syndrome. Conventionally, this has been treated with decompressive therapies, such as escharotomy. The most recent surveys have identified that the United States and Canada both face a shortage of practicing burn surgeons. In the event of a burn disaster, many nonburn surgeons would need to provide burn care, including decompressive therapies. We reviewed the literature to provide accurate, accessible, and applicable recommendations regarding this practice following burn injury for both the practicing burn surgeon and those that would provide care in the burn disaster.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.167
GPT teacher head0.495
Teacher spread0.328 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations32
Published2019
Admission routes1
Has abstractyes

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