Evidence map›Paper›PMID 40951288›Full record

ArticleResearch square2025

The impact of dornase alfa on imaging features of bronchiectasis.

Christina M Mingora, Federico Mollica, Daan Caudri, Punitkumar Makani, Harm Tiddens, Caroline Brailsford, Patrick A Flume

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In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Christina M MingoraMedical University of South Carolina.
Federico MollicaErasmus MC - Sophia Children's Hospital.
Daan CaudriErasmus MC - Sophia Children's Hospital.
Punitkumar MakaniErasmus MC - Sophia Children's Hospital.
Harm TiddensThirona B.V.
Caroline BrailsfordMedical University of South Carolina.
Patrick A FlumeMedical University of South Carolina.

Funding

The South Carolina Clinical & Translational Research Institute (SCTR)UM1TR005294 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KATHLEEN T. BRADY, PATRICK A FLUME · 2025 to 2026
$7.6M
NCATS NIH HHS UM1 TR005294
6 · The paper itself

Abstract

Background: Nebulized dornase alfa is an approved therapy for persons with cystic fibrosis, but not for other causes of bronchiectasis. Nonetheless, dornase works by breaking down extracellular DNA in airway phlegm and should be effective in people with bronchiectasis who have excessive purulent phlegm. The purpose of this study was to look at radiographic changes in persons with bronchiectasis (not CF) treated with dornase alfa. Methods: This is a single-center retrospective review of clinical data and analysis of images after initial treatment with dornase alfa. Eligible subjects included those with documented bronchiectasis who were treated with dornase alfa as part of their clinical care and who had chest computed tomography performed prior to and shortly after initial treatment. Descriptive clinical data are provided but not analyzed. Images were analyzed using validated methods including an artificial-intelligence-based algorithm to assess measures of bronchiectasis, airway wall thickness, and mucus plugs comparing before and after treatment. Results: Eleven subjects were treated with dornase alfa without complication and with improved symptoms and reduced numbers of pulmonary exacerbations. One subject had improvement in pulmonary function. There was a nominal reduction in a measure of bronchiectasis and the number and volume of mucus plugs after dornase alfa compared to pre-treatment. Conclusions: This novel image analysis of the impact of dornase alfa on features of bronchiectasis is consistent with the improved clinical symptoms reported by the subjects. These observations may help define better criteria to predict which bronchiectasis subjects are most likely to benefit from dornase alfa therapy.

Indexed as

bronchiectasisdornase alfaimage analysis

Identifiers

PMID40951288
PMCPMC12425056

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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 OpenQuestion graph.