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Record W2523559308 · doi:10.1177/0009922816667314

A 10-Year Review of Necrotizing Fasciitis in the Pediatric Population: Delays to Diagnosis and Management

2016· review· en· W2523559308 on OpenAlex
Heather VanderMeulen, Jeffrey M. Pernica, Madan Roy, April Kam

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.

Bibliographic record

VenueClinical Pediatrics · 2016
Typereview
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsMcMaster Children's HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineFasciitisPopulationPediatricsIntensive care medicineSurgeryEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the promptness and appropriateness of management in pediatric cases of necrotizing fasciitis (NF). METHODS: A retrospective chart review examined cases of pediatric NF treated at a pediatric tertiary care center over a 10-year period. RESULTS: Twelve patients were identified over the 10-year period. The median (25th to 75th centile) times to appropriate antibiotic administration, infectious disease consults, surgical consults and debridement surgeries were 2.6 (2.1-3.2), 7.7 (3.4-24.4), 4.6 (1.7-21.0), and 22.1 (10.3-28.4) hours following assessment at triage. The initial antibiotic(s) administered covered the causative organism in 9 of 12 cases. The median (25th to 75th centile) length of hospital stay was 21 (14.0-35.5) days. CONCLUSIONS: The large variability in the care of these patients speaks to the range of their presenting symptomatology. The lack of a standardized approach to the pediatric patient with suspected NF results in delays in management and suboptimal antibiotic choice.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.920
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
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 head0.132
GPT teacher head0.460
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