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Record W2971513768 · doi:10.1055/s-0039-1695733

High Rate of Medical Emergency Team Activation in Children with Tracheostomy

2019· article· en· W2971513768 on OpenAlex
Brianna McKelvie, Anna-Theresa Lobos, Jason L. Chan, Franco Momoli, James Dayre McNally

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

VenueJournal of Pediatric Intensive Care · 2019
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of OttawaLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineRetrospective cohort studyEmergency medicinePopulationEmergency departmentCohortPediatricsIntensive care medicineSurgeryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Pediatric in-patients with tracheostomy (PIT) are at high risk for clinical deterioration. Medical emergency teams (MET) have been developed to identify high-risk patients. This study compared MET activation rates between PITs and the general ward population. This was a retrospective cohort study conducted at a tertiary pediatric hospital. The primary outcome (MET activation) was obtained from a database. Between 2008 and 2014, the MET activation rate was significantly higher in the PIT group than the general ward population (14 vs. 2.9 per 100 admissions, p < 0.001). PITs are at significantly higher risk for MET activation. Strategies should be developed to reduce their risk on the wards.

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)0.000
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 score0.012
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.007
GPT teacher head0.254
Teacher spread0.248 · 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