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Record W2128985503

Single-dose dexamethasone for mild-to-moderate asthma exacerbations: effective, easy, and acceptable.

2011· article· en· W2128985503 on OpenAlexaff
Keith P. Cross, Ronald I. Paul, Ran D. Goldman

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineDexamethasonePrednisoloneAsthmaPrednisoneEmergency departmentAsthma exacerbationsExacerbationCorticosteroidIntensive care medicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

QUESTION: I prescribe oral steroids for children in my community when they suffer asthma exacerbation. How many doses of steroids are recommended? Do all children need to take steroids for 5 days? ANSWER: Traditionally, mild-to-moderate pediatric asthma exacerbations have been treated with a short course of oral steroids-often 5 days of prednisone or prednisolone. However, recent evidence suggests a similar outcome can be acheived with a single dose of dexamethasone, which has a longer half-life and powerful anti-inflammatory effects, along with easier administration and compliance. Single-dose dexamethasone offers a simple and reliable treatment for these patients in office, urgent care, and emergency department settings.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.054
GPT teacher head0.263
Teacher spread0.208 · 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 designNon-randomized trial
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

Citations22
Published2011
Admission routes1
Has abstractyes

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