Evidence map›Paper›PMID 30996039›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2019

Dismantling the pathophysiology of asthma using imaging.

Gregory G King, Catherine E Farrow, David G Chapman

Abstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2019. 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. Review
  2. Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  3. Article
  4. Article
  5. Lung functional imaging.Breathe (Sheffield, England) · 2023
    Article
  6. Article
  7. Article
  8. Structure and function of small airways in asthma patients revisited.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  9. Article
  10. Review
  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

3 authors.

Gregory G KingDept of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia gregory.king@sydney.edu.au.
Catherine E FarrowDept of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.
David G ChapmanWoolcock Institute of Medical Research and Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-8211-1817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma remains an important disease worldwide, causing high burden to patients and healthcare systems and presenting a need for better management and ultimately prevention and cure. Asthma is a very heterogeneous condition, with many different pathophysiological processes. Better measurement of those pathophysiological processes are needed to better phenotype disease, and to go beyond the current, highly limited measurements that are currently used: spirometry and symptoms. Sophisticated three-dimensional lung imaging using computed tomography and ventilation imaging (single photon emission computed tomography and positron emission tomography) and magnetic resonance imaging and methods of lung imaging applicable to asthma research are now highly developed. The body of current evidence suggests that abnormalities in structure and ventilatory function measured by imaging are clinically relevant, given their associations with disease severity, exacerbation risk and airflow obstruction. Therefore, lung imaging is ready for more widespread use in clinical trials and to become part of routine clinical assessment of asthma.

Indexed as

Magnetic Resonance ImagingPositron-Emission TomographyPulmonary VentilationTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedAnimalsAsthmaHumansImaging, Three-DimensionalLungPredictive Value of TestsPrognosisReproducibility of Results

Identifiers

PMID30996039
PMCPMC9488525

What OpenQuestion holds

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LicenceCC BY-NC
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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.