Evidence map›Paper›PMID 32554759›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2020

The radiological diagnosis of bronchiectasis: what's in a name?

Harm A W M Tiddens, Jennifer J Meerburg, Menno M van der Eerden, Pierluigi Ciet

Registry-linked trialOpen access · diamondAbstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06346938 (The Clinical Significance of CT-based Biomarkers in the Classification and Prognosis of Bronchiectasis), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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.

NCT06346938 recruitingnot on this mapstarted 2024, after this paper: background citation

The Clinical Significance of CT-based Biomarkers in the Classification and Prognosis of Bronchiectasis

TypeobservationalSponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and TechnologyRan2024 to 2027Enrolled300ConditionsBronchiectasis
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. The dipeptidyl peptidase 1 inhibition landscape in bronchiectasis and its future direction.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. [Radiology of bronchiectasis].Radiologie (Heidelberg, Germany) · 2024
    Article
  19. Article
  20. Biomarkers in bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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

4 authors at 2 institutions in 1 country.

Harm A W M TiddensDept of Paediatric Pulmonology and Allergology, Erasmus Medical Centre (MC)-Sophia Children's Hospital, Rotterdam, The Netherlands h.tiddens@erasmusmc.nl.
Jennifer J MeerburgDept of Paediatric Pulmonology and Allergology, Erasmus Medical Centre (MC)-Sophia Children's Hospital, Rotterdam, The Netherlands.
Menno M van der EerdenDept of Pulmonology, Erasmus Medical Centre, Rotterdam, The Netherlands.
Pierluigi CietDept of Paediatric Pulmonology and Allergology, Erasmus Medical Centre (MC)-Sophia Children's Hospital, Rotterdam, The Netherlands.
Erasmus University Rotterdam · NLErasmus MC - Sophia Children’s Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of bronchiectasis is usually made using chest computed tomography (CT) scan, the current gold standard method. A bronchiectatic airway can show abnormal widening and thickening of its airway wall. In addition, it can show an irregular wall and lack of tapering, and/or can be visible in the periphery of the lung. Its diagnosis is still largely expert based. More recently, it has become clear that airway dimensions on CT and therefore the diagnosis of bronchiectasis are highly dependent on lung volume. Hence, control of lung volume is required during CT acquisition to standardise the evaluation of airways. Automated image analysis systems are in development for the objective analysis of airway dimensions and for the diagnosis of bronchiectasis. To use these systems, clear and objective definitions for the diagnosis of bronchiectasis are needed. Furthermore, the use of these systems requires standardisation of CT protocols and of lung volume during chest CT acquisition. In addition, sex- and age-specific reference values are needed for image analysis outcome parameters. This review focusses on today's issues relating to the radiological diagnosis of bronchiectasis using state-of-the-art CT imaging techniques.

Indexed as

BronchiectasisHumansLung Volume MeasurementsRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray Computed

Identifiers

PMID32554759
PMCPMC9489191
OpenAlexW3036793081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.