Evidence map›Paper›PMID 31349825›Full record

Observational studyBMC pulmonary medicine2019

High prevalence of bronchiectasis on chest CT in a selected cohort of children with severe Asthma.

David Lo, Amit Maniyar, Sumit Gupta, Erol Gaillard

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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 4 institutions in 1 country.

David LoRobert Kilpatrick Clinical Sciences Building. Leicester Royal Infirmary, University Hospitals of Leicester, Leicester, LE2 7LX, UK. dkhl1@le.ac.uk.ORCID http://orcid.org/0000-0002-3220-7159
Amit ManiyarRoyal Manchester Children's Hospital, Manchester University Foundation Trus, Manchester, UK.
Sumit GuptaDepartment of Radiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK.
Erol GaillardNIHR Leicester Respiratory Biomedical Research Unit, University of Leicester. Leicester Institute for Lung Health, Leicester, UK.
Glenfield Hospital · GBLeicester Royal Infirmary · GBUniversity of Leicester · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest computed tomography (CT) scans have a recognised role in investigating adults with severe asthma to exclude alternative diagnoses, but its role in children is less clear. The objective of this study was to review the CT findings of our local cohort of children with severe asthma and to explore whether clinical or pathobiological parameters predicted CT changes.

methodsRetrospective observational single centre study including all children attending the Leicester difficult asthma clinic (DAC) who underwent a chest CT from 2006 to 2011. Additionally, we recruited eight age-matched, non-asthmatic controls to compare differences in CT findings between asthmatic and non-asthmatic children. All CT images were independently scored by two radiologists. The DAC patients were sub-divided into binary groups for each abnormality identified so that comparisons could be made against recorded clinical variables including age, lung function, serum total IgE levels, and sputum leukocyte differential cell counts.

resultsThirty DAC patients (median 12 yrs., range 5-16) were included. The most common abnormalities were bronchial wall thickening (BWT) and air trapping (AT), observed in 80 and 60% of DAC patients. Bronchiectasis (BE) was identified in 27% of DAC patients. DAC patients with evidence of BE on CT images were older than those without BE (13.9 ± 0.67 vs 11.5 ± 0.61, p = 0.038). We also identified a positive correlation between increasing BE severity and extent with age (r = 0.400, p = 0.028).

conclusionAbnormal CT findings were highly prevalent in our cohort of children with severe asthma, with bronchiectasis identified in approximately one third of children. We found no alternative diagnoses that resulted in a change in clinical management.

Indexed as

Tomography, X-Ray ComputedAdolescentAsthmaBronchiectasisChildChild, PreschoolFemaleForced Expiratory VolumeHumansMalePrevalenceRetrospective StudiesSeverity of Illness IndexSputumVital CapacityBronchiectasisChildRadiologyTomographyX-ray computed

Identifiers

PMID31349825
PMCPMC6660678
OpenAlexW2966724012

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Registered trials

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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.