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Use of Single-dose Activated Charcoal Among Canadian Pediatric Emergency Physicians

2006· article· en· W1991965341 on OpenAlexaffabout
Sarah Reid, Gina Neto, Tammy Clifford, Navdeep Randhawa, Amy C. Plint

Bibliographic record

VenuePediatric Emergency Care · 2006
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineIngestionActivated charcoalEmergency departmentEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Gastric decontamination with single-dose activated charcoal (SDAC) is a mainstay in emergency department (ED) treatment of ingestions. Guidelines updated in 2005 encourage practitioners to use SDAC only in toxic ingestions presenting within 1 hour. Despite these guidelines, adult studies demonstrate a significant lack of consensus. This study examined the proposed use of SDAC for gastric decontamination in common pediatric ingestion scenarios by emergency physicians working in Canadian pediatric EDs. METHODS: A standardized survey consisting of 5 clinical scenarios was mailed to all physicians with a primary clinical appointment to the ED at 9 Canadian children's hospitals. RESULTS: One hundred thirty-one physicians were surveyed, and 95 (72%) responded. The majority of respondents were pediatricians (68.1%) with a mean of 15.0 years of experience (SD, 6.8 years). Of those surveyed; 91 (97.8%) would use SDAC for a toxic ingestion presenting in less than 1 hour; 35 (36.8%) would use SDAC for a toxic ingestion presenting after 3 hours; 61 (64.9%) would use SDAC for a nontoxic exploratory ingestion presenting in less than 1 hour; and 29 (30.5%) would use SDAC for a mildly symptomatic intentional ingestion presenting at an unknown time. Eleven (11.7%) would use SDAC for an ingestion of a substance that does not adsorb to SDAC. CONCLUSIONS: There is variation in the use of SDAC among emergency physicians working in Canadian pediatric EDs. This variation suggests that optimal management is not clear and that continued education and research are required.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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.

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
Published2006
Admission routes2
Has abstractyes

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