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Record W1994907797 · doi:10.1097/mcp.0000000000000125

The revised 2014 GINA strategy report

2014· review· en· W1994907797 on OpenAlexafffund
Louis‐Philippe Boulet, J Mark FitzGerald, Helen K. Reddel

Bibliographic record

VenueCurrent Opinion in Pulmonary Medicine · 2014
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of British ColumbiaInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité Laval
FundersCanadian Lung Association
KeywordsMedicineMEDLINE

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This document reviews a major revision of the Global Initiative for Asthma (GINA) Strategy for Asthma Management and Prevention that was published in 2014. The report aimed not only to update evidence-based recommendations for asthma diagnosis and management but also to innovate through a new format and layout to make its recommendations more clinically relevant and easier to implement. RECENT FINDINGS: The GINA 2014 report includes a new definition of asthma that recognizes the heterogeneity of the disease and its phenotypes, and a new chapter about the asthma-chronic obstructive pulmonary disease (COPD) overlap syndrome. Among key messages, the report stresses that therapeutic decisions should be based not only on assessment of symptoms but also on risk factors for exacerbations, side effects of therapy and development of fixed airflow limitation. Asthma management includes not only medications but also nonpharmacological therapies and strategies, in a coordinated and personalized approach to individual patient care. On the basis of evidence about how to achieve behaviour change by health professionals, the recommendations are presented in a user-friendly format, with numerous tables, algorithms and flow-charts facilitating implementation. Background supporting material has been gathered online. SUMMARY: The GINA 2014 report provides updated and more easily implementable recommendations on optimal asthma management.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.853
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.108
GPT teacher head0.437
Teacher spread0.329 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations124
Published2014
Admission routes2
Has abstractyes

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