Evidence map›Paper›PMID 42340139›Full record

ArticleCanadian respiratory journal2026

Quantitative Analysis of Bronchiectasis in Alpha-1 Antitrypsin Deficiency.

Joshua De Soyza, Philipp Höger, Paul Ellis, Oliver Weinheimer, Franziska Trudzinski, Alice M Turner

Abstract read
In one paragraph

Article in Canadian respiratory journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Joshua De SoyzaDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK, birmingham.ac.uk.ORCID https://orcid.org/0000-0003-1311-9775
Philipp HögerDepartment of Pneumology and Critical Care Medicine, Thoraxklinik, Heidelberg, Germany.ORCID https://orcid.org/0009-0006-6637-9166
Paul EllisDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK, birmingham.ac.uk.ORCID https://orcid.org/0000-0003-3817-3882
Oliver WeinheimerTranslational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Heidelberg, Germany, uni-heidelberg.de.ORCID https://orcid.org/0000-0002-9507-076X
Franziska TrudzinskiDepartment of Pneumology and Critical Care Medicine, Thoraxklinik, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-0980-7586
Alice M TurnerDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK, birmingham.ac.uk.ORCID https://orcid.org/0000-0002-5947-3254

Funding

Vertex Pharmaceuticals
6 · The paper itself

Abstract

introductionAlpha-1 antitrypsin deficiency (AATD) may be directly related to bronchiectasis. However, radiological diagnosis of mild bronchiectasis is subjective, and visual assessment of airway tapering is time-consuming. CT algorithms have been used to quantify airway tapering in other bronchiectasis aetiologies. We assessed whether this process can be used in AATD.

methodsHistoric CT scans from patients with severe AATD in the Birmingham registry were processed with YACTA software (Weinheimer et al., 2017), and data on bronchiectasis index (BEI), airway wall thickness (AWPi10) and emphysema (PD15) were extracted. Correlation with visual data was assessed using standard statistical tests. Receiver operating characteristic (ROC) curves were used to find thresholds at which algorithm data are associated with visual data. Regression models assessed the impact of algorithm data on lung function decline, exacerbation rate, mortality and bronchiectasis severity index (BSI), corrected for age, sex, smoking status and PD15.

resultsA total of 154 scans were analysed. BEI correlated moderately well with visual scoring of bronchial dilatation (p < 0.001), bronchial wall thickness (BWT, p < 0.001), number of lobes affected (p < 0.001) and morphology (p < 0.001). AWPi10 did not correlate with BWT (p = 0.28). Thresholds were identified for the association of BEI with bronchial dilatation ≥ 2 × arterial diameter; lobar involvement ≥ 3 lobes, and presence of varicose or cystic morphology, though sensitivity and specificity were relatively low. BEI is associated only with BSI (p = 0.002). AWPi10 did not associate with clinical outcomes.

conclusionAlgorithm CT analysis has value in quantifying mild bronchiectasis in AATD and may be used in trials of emerging therapies.

Indexed as

alpha 1-Antitrypsin DeficiencyBronchiectasisAdultAlgorithmsFemaleHumansMaleMiddle AgedRegistriesROC CurveSeverity of Illness IndexTomography, X-Ray Computed

Identifiers

PMID42340139
PMCPMC13292108

What Socratic holds

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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 Socratic graph.