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Record W2577593222 · doi:10.1097/aci.0000000000000346

Asthma guidelines: the Global Initiative for Asthma in relation to national guidelines

2017· article· en· W2577593222 on OpenAlexaff
Allan B. Becker, Elissa M. Abrams

Bibliographic record

VenueCurrent Opinion in Allergy and Clinical Immunology · 2017
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineAsthmaAsthma managementExpert opinionBest practiceFamily medicineMEDLINEIntensive care medicinePolitical science

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To compare and contrast national asthma guidelines with the Global Initiative for Asthma (GINA) strategy for asthma management and prevention. RECENT FINDINGS: The common goal of GINA and national asthma guidelines is to improve asthma care using the best evidence available from published data. This evidence-based approach has evolved from an initial perspective of expert opinion but with that evolution has not always considered the breadth of asthma phenotypes. GINA and national guidelines differ in a number of ways. GINA reviews available data and updates the core document and recommendations based on the latest data on a yearly basis to offer local, regional and national guidelines materials needed for knowledge mobilization. It remains the purview of those organizations to structure and implement those locally appropriate guidelines. SUMMARY: Both GINA and national guidelines have furthered asthma care to narrow the care gap from what is known to how asthma care is delivered, hopefully in a more directed, personalized manner. As well, both GINA and national guidelines have helped to shape the direction of research for the future benefit of children and their families.

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)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.233
GPT teacher head0.502
Teacher spread0.269 · 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

Citations190
Published2017
Admission routes1
Has abstractyes

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