Evidence map›Paper›PMID 38198116›Full record

ReviewClinical drug investigation2024

Demystifying Dry Powder Inhaler Resistance with Relevance to Optimal Patient Care.

Toby G D Capstick, Sanjay Gudimetla, David S Harris, Rachel Malone, Omar S Usmani

Abstract readReview
In one paragraph

Review in Clinical drug investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. 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

5 authors.

Toby G D CapstickRespiratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID http://orcid.org/0000-0002-9686-3067
Sanjay GudimetlaChiesi Ltd, Manchester, UK.ORCID http://orcid.org/0000-0002-3042-2568
David S HarrisCambridge Healthcare Innovations, Cambridge, UK.ORCID http://orcid.org/0000-0002-3290-3226
Rachel MaloneChiesi Ltd, Manchester, UK.ORCID http://orcid.org/0000-0002-0855-5866
Omar S UsmaniNational Heart and Lung Institute (NHLI), Imperial College London, London, Guy Scadding Building, Dovehouse Street, London, SW3 6LY, UK. o.usmani@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4367-254X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The selection of an inhaler device is a key component of respiratory disease management. However, there is a lack of clarity surrounding inhaler resistance and how it impacts inhaler selection. The most common inhaler types are dry powder inhalers (DPIs) that have internal resistance and pressurised metered dose inhalers (pMDIs) that use propellants to deliver the drug dose to the airways. Inhaler resistance varies across the DPIs available on the market, depending largely on the design geometry of the device but also partially on formulation parameters. Factors influencing inhaler choice include measures such as flow rate or pressure drop as well as inhaler technique and patient preference, both of which can lead to improved adherence and outcomes. For optimal disease outcomes, device selection should be individualised, inhaler technique optimised and patient preference considered. By addressing the common clinically relevant questions, this paper aims to demystify how DPI resistance should guide the selection of the right device for the right patient.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveAdministration, InhalationDry Powder InhalersHumansMetered Dose InhalersNebulizers and VaporizersPatient Care

Identifiers

PMID38198116
PMCPMC10834657

What OpenQuestion holds

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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.