Evidence map›Paper›PMID 18431675›Full record

ReviewAAPS PharmSciTech2008

Minimizing variability of cascade impaction measurements in inhalers and nebulizers.

Matthew Bonam, David Christopher, David Cipolla, Brent Donovan, David Goodwin, Susan Holmes, Svetlana Lyapustina, Jolyon Mitchell, Steve Nichols, Gunilla Pettersson and 7 more

Abstract readReview
In one paragraph

Review in AAPS PharmSciTech, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Matthew BonamAnalytical Development, AstraZeneca Charnwood, Loughborough, Leicestershire, UK.
David Christopher
David Cipolla
Brent Donovan
David Goodwin
Susan Holmes
Svetlana Lyapustina
Jolyon Mitchell
Steve Nichols
Gunilla Pettersson
Chris Quale
Nagaraja Rao
Dilraj Singh
Terrence Tougas
Mike Van Oort
Bernd Walther
Bruce Wyka

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this article is to catalogue in a systematic way the available information about factors that may influence the outcome and variability of cascade impactor (CI) measurements of pharmaceutical aerosols for inhalation, such as those obtained from metered dose inhalers (MDIs), dry powder inhalers (DPIs) or products for nebulization; and to suggest ways to minimize the influence of such factors. To accomplish this task, the authors constructed a cause-and-effect Ishikawa diagram for a CI measurement and considered the influence of each root cause based on industry experience and thorough literature review. The results illustrate the intricate network of underlying causes of CI variability, with the potential for several multi-way statistical interactions. It was also found that significantly more quantitative information exists about impactor-related causes than about operator-derived influences, the contribution of drug assay methodology and product-related causes, suggesting a need for further research in those areas. The understanding and awareness of all these factors should aid in the development of optimized CI methods and appropriate quality control measures for aerodynamic particle size distribution (APSD) of pharmaceutical aerosols, in line with the current regulatory initiatives involving quality-by-design (QbD).

Indexed as

Administration, InhalationAerosolsChemistry Techniques, AnalyticalEquipment DesignEquipment FailureHumansModels, StatisticalNebulizers and VaporizersParticle SizePowdersQuality ControlReproducibility of ResultsRespiratory System AgentsTechnology, PharmaceuticalAerosolsPowdersRespiratory System Agents

Identifiers

PMID18431675
PMCPMC2976949

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.