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Record W2515418185 · doi:10.1097/bcr.0000000000000427

Anesthetic Practices for Laser Rehabilitation of Pediatric Hypertrophic Burn Scars

2016· article· en· W2515418185 on OpenAlexaff
Brendan M. Wong, Jeffrey Keilman, Jennifer Zuccaro, Charis Kelly, Jason T. Maynes, Joel Fish

Bibliographic record

VenueJournal of Burn Care & Research · 2016
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineHypertrophic scarsAnestheticAnesthesiaTopical anestheticPediatric burnRehabilitationScarsSurgeryPhysical therapy

Abstract

fetched live from OpenAlex

The use of ablative fractional carbon dioxide laser therapy and pulsed dye laser therapy has led to significant improvements in the rehabilitation of hypertrophic burn scars. However, laser procedures are associated with appreciable pain among pediatric patients. Clinical consensus suggests using general anesthesia for pediatric laser procedures; however, guidelines for perioperative care are lacking. The objective of this quality improvement study is to determine whether a difference exists in postoperative pain outcomes in pediatric patients who receive intraoperative opioid regimens compared with patients who receive opioid-sparing regimens for laser therapy of hypertrophic burn scars. A retrospective review of patients who received laser therapy at a pediatric burn center from April 2014 to May 2015 was performed. Overall, 88 of the 92 procedures reviewed were included. A statistically significant difference was not found between the likelihood of postoperative pain when intraoperative opioid regimens (n = 63) were given compared with opioid-sparing regimens (n = 25) X (1, n = 88) = 2.870, P = .0902. There was also no difference between short-acting (n = 48), long-acting (n = 9), or combination (n = 6) intraoperative opioids compared with opioid-sparing regimens (n = 25) in the likelihood of postoperative pain. Despite the small sample size, the low number of postoperative pain cases is encouraging. Ultimately, these data provide a foundation for developing anesthetic guidelines for pediatric laser procedures. Specifically, clinicians should consider the potential to deliver adequate perioperative care via an opioid-sparing regimen ± adjuvant.

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)0.003
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 score0.342
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.081
GPT teacher head0.434
Teacher spread0.353 · 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

Citations20
Published2016
Admission routes1
Has abstractyes

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