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Record W1984945668 · doi:10.1097/pec.0b013e31824d8c8b

The Prevalence of Hypoglycemia in Children With Vomiting or Decreased Oral Intake and Irritability

2012· article· en· W1984945668 on OpenAlexaff
Tim Heeley-Ray, Joe Nemeth, John J. Mitchell

Bibliographic record

VenuePediatric Emergency Care · 2012
Typearticle
Languageen
FieldMedicine
TopicHyperglycemia and glycemic control in critically ill and hospitalized patients
Canadian institutionsMontreal General Hospital
Fundersnot available
KeywordsMedicineHypoglycemiaVomitingIrritabilityEmergency departmentPediatricsInternal medicineInsulin

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aimed to estimate the prevalence of hypoglycemia in children younger than 5 years presenting to the emergency department with vomiting or decreased oral intake and irritability. METHODS: Children aged 1 month to 5 years presenting to the emergency department with vomiting (twice or more) or decreased oral intake (>50%) during the past 24 hours and irritability as part of the history of present illness were enrolled. Capillary blood glucose was obtained at triage. Patients with glucose level higher than 3.0 mmol/L were considered normoglycemic. Patients with glucose level of 3.0 mmol/L or lower were re-triaged (acuity level increased by 1), and sent to a treatment room with the recommendation that our institution's hypoglycemia protocol be applied. RESULTS: Of the 145 enrolled patients, 2 were hypoglycemic, for an estimated prevalence of 1.4%. The mean capillary blood glucose level was 5.4 mmol/L, and the range was 2.8 to 11.8 mmol/L. The average age of participants was 21 months, and 48.3% were female. Most were triaged category 4 or 5, and the most common discharge diagnoses were gastroenteritis, viral illness, and vomiting not yet diagnosed. CONCLUSIONS: Hypoglycemia is a rare occurrence in all-comers younger than 5 years with vomiting or decreased oral intake, even with early signs of neuroglycopenia. Measuring the capillary glucose is better left to the discretion of the physician than as part of triage.

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)0.000
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 score0.009
Threshold uncertainty score0.395

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 integrity0.0000.000
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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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