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Analysis of the asthma scores recommended in guidelines for children presenting to the emergency department: a Pediatric Emergency Research Networks study

2025· article· en· W4408928821 on OpenAlexaffabout
Charmaine Gray, Madeline Collings, Javier Benito, Roberto Velasco, Mark D Lyttle, Damian Roland, Suzanne Schuh, Bashar Shihabuddin, Maria Y. Kwok, Prashant Mahajan, Mike Johnson, Joseph J. Zorc, Kajal Khanna, Adriana Yock‐Corrales, Ricardo M. Fernandes, Indumathy Santhanam, Baljit Cheema, Tzong-Luen Wang, Thiagarajan Jaiganesh, Colin Powell, Stuart R. Dalziel, Franz E Babl, Jennifer Couper, Simon Craig

Bibliographic record

VenueArchives of Disease in Childhood · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersMedical Research CouncilNational Health and Medical Research CouncilCure KidsThoracic Society of Australia and New ZealandChildren's Hospital Foundation
KeywordsMedicineEmergency departmentAsthmaMedical emergencyEmergency medicinePediatric emergency medicinePediatricsEmergency physicianPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

RATIONALE: While there are numerous published paediatric asthma scores, it is unknown how commonly scores are recommended in asthma guidelines across different geographical regions globally, and what their validation status is. OBJECTIVES: (1) To describe which clinical guidelines recommend asthma scores across different geographical regions. (2) To describe the initial and subsequent validation of the commonly recommended asthma scores. METHODS: Observational study of asthma scores recommended in guidelines for the management of acute paediatric asthma from institutions across the Pediatric Emergency Medicine Network; global paediatric emergency medicine research network comprising all eight local and regional paediatric emergency medicine research networks. MAIN RESULTS: 158 guidelines were identified. Overall, 83/158 (53%) guidelines recommend a bedside clinical score for assessment of asthma severity. While a single country-specific clinical score was recommended in all guidelines from Spain and Canada, 27/28 (96%) of the USA guidelines recommend a wide variety of scores, and scores are rarely recommended in guidelines from other research networks (PERUKI, Paediatric Emergency Research in the UK and Ireland and PREDICT, Paediatric Research in Emergency Departments International Collaborative in Australia and New Zealand) and other countries (Costa Rica, South Africa, Nigeria, Singapore, India).The Pediatric Respiratory Assessment Measure (PRAM) and the pulmonary score (PS) were the most frequently used scoring instruments. While the PRAM has undergone the most extensive validation, including construct validity, validation studies for the PS are limited. Inter-rater reliability, as well as the criterion, responsiveness and discriminative validity aspects represent the most common limitations in many of the scores. CONCLUSIONS: There are marked geographical differences in both the recommendation for and the type of clinical asthma score in clinical practice guidelines. While many asthma scores are recommended, most have insufficient validation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.059
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.059
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0010.002
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 head0.037
GPT teacher head0.381
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2025
Admission routes2
Has abstractyes

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