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Record W118442715 · doi:10.1155/2009/206506

The Efficacy of Tiotropium as a Steroid‐Sparing Agent in Severe Asthma

2009· article· en· W118442715 on OpenAlexaffabout
Anmol Kapoor, Sharla-Rae Olsen, Cindy O’Hara, Lakshmi Puttagunta, Dilini Vethanayagam

Bibliographic record

VenueCanadian Respiratory Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineAsthmaTiotropium bromideAnesthesiaInternal medicineLung functionLung

Abstract

fetched live from OpenAlex

People with severe asthma account for 5% to 10% of all asthmatic patients; however, this small group uses the majority of health care resources. Novel methods are needed to cope with the burden that this minority of patients places on the health care system. A severe asthma clinic patient, who was monitored through the University of Alberta's Virtual Asthma Clinic (Edmonton, Alberta) is presented. Despite optimization of his disease and individualized asthma education (provided by a certified asthma educator), the patient remained on oral glucocorticosteroids (OGS) to control his disease. Following optimization and stabilization, a further reduction in the dose of his OGS by the addition of the long-acting anticholinergic agent tiotropium bromide, was demonstrated. The role of tiotropium as a potential 'steroid-sparing agent' in severe refractory asthma is discussed, noting that if patients who are on OGS are not monitored for active inflammation, they may overuse the amount of prescribed systemic steroids, which can result in long-term steroid-related sequelae.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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 designRandomized 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

Citations21
Published2009
Admission routes2
Has abstractyes

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