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Record W2029772628 · doi:10.2174/156720109787048203

Aerosol Devices and Asthma Therapy

2009· review· en· W2029772628 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Drug Delivery · 2009
Typereview
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsnot available
FundersAstraZeneca
KeywordsInhalerNebulizerMetered-dose inhalerChlorofluorocarbonMedicineDry-powder inhalerAsthmaPropellantDrug deliveryIntensive care medicineDrugPharmacologyAnesthesiaNanotechnologyMaterials scienceInternal medicine

Abstract

fetched live from OpenAlex

Aerosol delivery of asthma medications maximizes local effects in the lung and minimizes systemic effects compared with oral therapy. Both corticosteroids and bronchodilators are available in a variety of delivery devices for the treatment of asthma. The 1987 Montreal protocol requiring the phasing out of the chlorofluorocarbon (CFC) propellant in commonly used pressurized metered-dose inhalers (pMDIs) provided an impetus for the development of new technologies for the delivery of inhaled asthma medications. For pMDIs, CFC has been replaced with hydrofluoroalkane (HFA) propellant. New types of dry powder inhalers (DPIs) and nebulizers, aerosol delivery devices that do not use propellants, also have been introduced. Drug delivery varies based on the device type, the product formulation and patient-related factors. Thus, drug delivery can differ when the same medication is delivered via an HFA pMDI, a CFC pMDI, a DPI or a nebulizer. Even among the same type of device (eg. DPIs, pMDIs), inhaler designs and drug formulations differ. Drug and device selection should be based on consideration of the patient's ability to use the device properly, the availability of a desired drug or drugs (ie. maintenance and rescue) in a particular inhaler device and patient preference. This review describes key characteristics for each device type, explains differences in markers of lung deposition, lists potential advantages and disadvantages of the different devices and discusses how these and other factors need to be considered when selecting an inhaler device that meets the individual needs of a patient.

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.

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 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 score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
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)0.0000.000

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 head0.065
GPT teacher head0.353
Teacher spread0.288 · 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