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Record W4323293830 · doi:10.1097/mop.0000000000001238

Evolving threat of pediatric ingestions: a discussion of cannabis and button batteries and their implications for children

2023· review· en· W4323293830 on OpenAlexaff
Melissa Lorenzo, Suzanne Beno

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2023
Typereview
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineCannabisIncidence (geometry)HarmPoison controlPresentation (obstetrics)Medical emergencyInjury preventionOccupational safety and healthSuicide preventionIntensive care medicinePediatricsPsychiatrySurgery

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Pediatric button battery and cannabis ingestions are rising in incidence and have the potential for significant harm. This review will focus on the clinical presentation and complications of these two common inadvertent ingestions in children, as well as recent regulatory efforts and advocacy opportunities. RECENT FINDINGS: The rising incidence of cannabis toxicity in children has corresponded with its legalization across several countries in the last decade. Inadvertent pediatric cannabis intoxication is most commonly due to the ingestion of edible forms discovered by children in their own home. The clinical presentation can be nonspecific, therefore clinicians should have a low threshold for including it on their differential diagnosis. Button battery ingestions are also increasing in incidence. While many children are asymptomatic at presentation, button battery ingestions can quickly cause esophageal injury and lead to several serious and potentially life-threatening complications. Prompt recognition and removal of esophageal button batteries is essential for reducing harm. SUMMARY: Cannabis and button battery ingestions are important for physicians who take care of children to recognize and manage appropriately. Given their rising incidence, there are many opportunities for policy improvements and advocacy efforts to make a difference in preventing these ingestions altogether.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.698
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.118
GPT teacher head0.407
Teacher spread0.288 · 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 designOther design
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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