Evidence map›Paper›PMID 33628018›Full record

ReviewInternational journal of chronic obstructive pulmonary disease

Small Airways Disease, Biomarkers and COPD: Where are We?

Priyamvada S Chukowry, Daniella A Spittle, Alice M Turner

Open access · goldAbstract readReview
In one paragraph

Review in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. A Combined Bioinformatics and Clinical Validation Study IdentifiesInternational journal of molecular sciences · 2025
    Article
  6. Hyperconcentrated mucus in small airways: a mechanistic model for the pathogenesis of paediatric bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  7. Review
  8. Article
  9. Incidence and Risk Factors of Tuberculosis-Associated Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Role of Osteopontin in Respiratory Health and Disease.Journal of personalized medicine · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 2 institutions in 1 country.

Priyamvada S ChukowryRespiratory Research Department, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0001-7854-3089
Daniella A SpittleInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK.ORCID 0000-0002-4054-0314
Alice M TurnerInstitute for Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID 0000-0002-5947-3254
University of Birmingham · GBUniversity Hospitals Birmingham NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The response to treatment and progression of Chronic Obstructive Pulmonary Disease (COPD) varies significantly. Small airways disease (SAD) is being increasingly recognized as a key pathological feature of COPD. Studies have brought forward pathological evidence of small airway damage preceding the development of emphysema and the detection of obstruction using traditional spirometry. In recent years, there has been a renewed interest in the early detection of SAD and this has brought along an increased demand for physiological tests able to identify and quantify SAD. Early detection of SAD allows early targeted therapy and this suggests the potential for altering the course of disease. The aim of this article is to review the evidence available on the physiological testing of small airways. The first half will focus on the role of lung function tests such as maximum mid-expiratory flow, impulse oscillometry and lung clearance index in detecting and quantifying SAD. The role of Computed Tomography (CT) as a radiological biomarker will be discussed as well as the potential of recent CT analysis software to differentiate normal aging of the lungs to pathology. The evidence behind SAD biomarkers sourced from blood as well as biomarkers sourced from sputum and broncho-alveolar lavage (BAL) will be reviewed. This paper focuses on CC-16, sRAGE, PAI-1, MMP-9 and MMP-12.

Indexed as

Pulmonary Disease, Chronic ObstructivePulmonary EmphysemaBiomarkersHumansLungSpirometryBiomarkersnormal agingpathological processspirometrytargeted treatment

Identifiers

PMID33628018
PMCPMC7899307
OpenAlexW3132596793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.