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Anti‐inflammatory effects of once daily low dose inhaled ciclesonide in mild to moderate asthmatic patients

2006· article· en· W2019764869 on OpenAlexaff
Andrew M. Wilson, MyLinh Duong, Brian R. Pratt, Myrna Dolovich, Paul M. O’Byrne

Bibliographic record

VenueAllergy · 2006
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCiclesonideMedicinePlaceboMorningAsthmaSputumInhalationCrossover studyAnesthesiaExhaled nitric oxideBudesonideInternal medicineSpirometryInhaled corticosteroids

Abstract

fetched live from OpenAlex

BACKGROUND: Ciclesonide exhibits clinical efficacy at 160 microg (ex-actuator) once daily but the anti-inflammatory effects at this dose are not known. We wished to know whether 4 weeks therapy with ciclesonide pMDI 160 microg once daily in the morning exhibited significant anti-inflammatory effects. METHODS: Seventeen patients with mild persistent asthma (FEV(1) 3.35 l) were recruited into a double-blind placebo-controlled randomized crossover study. Measurements were made after ciclesonide and placebo treatment as well as after run-in and washout periods, for adenosine monophosphate (AMP) bronchial challenge (primary variable), exhaled nitric oxide (NO) and induced sputum (in a subgroup). RESULTS: The mean (SEM) AMP bronchial challenge PC(20) following ciclesonide (140 (63) mg/ml) was significantly (P < 0.001) increased compared with placebo (17 (8) mg/ml), run-in (13 (5) mg/ml) and washout (9 (3) mg/ml) periods. This amounted to an eightfold (CI: 5.3-12.0) for ciclesonide vs placebo. Likewise, there were significant improvements in exhaled NO levels and a significant reduction in induced sputum eosinophil cell counts. CONCLUSION: We have shown that inhaled ciclesonide given at 160 microg once daily in the morning exhibits significant anti-inflammatory effects that are in keeping with the previously described clinical effects.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.004
GPT teacher head0.219
Teacher spread0.215 · 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

Citations26
Published2006
Admission routes1
Has abstractyes

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