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Healing at Home: Comparing Cohorts of Children With Medium-Sized Burns Treated as Outpatients With In-Hospital Applied Acticoat™ to Those Children Treated as Inpatients With Silver Sulfadiazine

2006· article· en· W2080936840 on OpenAlexaff
Daniel A Peters, Cynthia Verchere

Bibliographic record

VenueJournal of Burn Care & Research · 2006
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineSilver sulfadiazineSulfadiazineEmergency medicineIntensive care medicinePediatricsSurgeryWound healingAntibiotics

Abstract

fetched live from OpenAlex

Using Acticoat (Smith & Nephew, London, UK), a dressing that requires changing only twice per week, we are able to discharge children with medium-sized burns for the majority of their acute care. In sizeable wounds, early burn care is often too painful to do at home and, therefore, sedative analgesia or anesthesia can be provided by the burn unity as necessary. In the interval between dressings, the patients remain at home. A cohort of 30 patients treated in this fashion between 2000 and 2002 were compared with 73 matched historical controls kept as inpatients and treated with silver sulfadiazine. Children treated with Acticoat spent, on average, 0.83 days admitted in hospital whereas those treated with silver sulfadiazine averaged 13.85 days (P < .001). There was a reduction in complications in patients treated with Acticoat and the need for skin grafting was not increased. We have been able to facilitate earlier discharges while continuing to provide safe and effective comprehensive burn care.

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)0.000
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 score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.312
Teacher spread0.295 · 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

Citations36
Published2006
Admission routes1
Has abstractyes

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