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Record W4400582749 · doi:10.1080/24745332.2024.2359990

Redefining asthma management: Remodeling, rehabilitation and remission

2024· article· en· W4400582749 on OpenAlexaff
Sarah-Ève Lemieux, Emanuel Fournier-Ross, C.A. Celis-Preciado

Bibliographic record

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsRehabilitationAsthmaMedicinePhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Addressing the multifaceted aspects of asthma care calls for a thorough examination of new evidence regarding additional effects of treatments, as well as pioneering a paradigm shift in treatment outcomes.The concept of “people remodeling” unveils the complex interplay between changes in body weight and the use of oral corticosteroids, particularly highlighting how obesity, often a consequence of medication side effects, significantly influences asthma management. Simultaneously, integrating exercise into asthma treatment has undergone a transformative evolution, shifting from careful consideration to a pivotal cornerstone. Within the landscape of severe asthma treatment, the introduction of biological therapies has triggered a profound revolution by presenting the possibility of achieving clinical/complete remission, representing a departure from the conventional control goal.This review will discuss recent articles focusing on weight loss associated with biologics in patients with severe asthma, the effects of exercise on lung function in asthmatics and a consensus definition of clinical remission in severe asthma.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.304
Teacher spread0.287 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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