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Record W3173109828 · doi:10.1097/pec.0000000000002475

Evaluation of Pain in the Pediatric Emergency Department and the Request of Analgesia

2021· article· en· W3173109828 on OpenAlexaff
Jennifer Bergeron, Benoît Bailey

Bibliographic record

VenuePediatric Emergency Care · 2021
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineEmergency departmentVisual analogue scaleConfidence intervalProspective cohort studyAcute painPain scaleAnesthesiaPhysical therapyPediatricsEmergency medicineSurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine the acute pain level associated with request for analgesia by children and their parents in the pediatric emergency department (ED) when pain was assessed by verbal numeric scale (VNS), visual analog scale (VAS), and verbal rating scale (VRS). METHODS: A secondary analysis of a prospective cohort study using a sample of children aged 8 to 17 presenting to the ED with acute pain. Patients and their parents were asked to quantify the child's pain on the VNS, VAS, and VRS. Scores for patients and parents who answered "yes" to the request of analgesia were compared with those responding "no." RESULTS: A total of 202 patients aged 12.2 ± 2.6 years were enrolled. The median levels of pain associated with a request of analgesia and no request for analgesia by the patient were: 6.0 (4.0-7.4) and 5.0 (3.0-6.0) (Δ 1.0; 95% confidence interval [CI], 0.5-2.0) for the VNS; 5.7 (3.9-7.2) and 4.3 (2.6-5.8) (Δ 1.3; 95% CI, 0.6-1.9) for the VAS; and 2.0 (2.0-2.0) and 2.0 (1.0-2.0) (Δ 0.0; 95% CI, 0.0-0.0) for the VRS. CONCLUSIONS: Children who requested analgesia had higher pain scores on the VNS and the VAS, than those who did not request analgesia. No difference was demonstrated with the VRS. The pain scores between the analgesia request categories could overlap. This suggests that children seen in the ED should be asked if they want analgesia to decrease their acute pain.

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)0.008
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.313
Teacher spread0.289 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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