Evidence map›Paper›PMID 32088141›Full record

ArticleJornal de pediatria

High-resolution CT pulmonary findings in children with severe asthma.

Thiago Krieger Bento da Silva, Matheus Zanon, Stephan Altmayer, Gabriel Sartori Pacini, Guilherme Watte, Renato Stein, Paulo Márcio Pitrez, Bruno Hochhegger

Open access · goldAbstract read
In one paragraph

Article in Jornal de pediatria. 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
0.9field-weighted citation impact, top 23% 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, 16 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
  7. [Application of Deep Learning Reconstruction Algorithm in Low-Dose Thin-Slice Liver CT of Healthy Volunteers].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021
    Article
  8. 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

8 authors at 3 institutions in 1 country.

Thiago Krieger Bento da SilvaPostgraduate Program in Pediatrics, Pontifícia Universidade Católica do Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil.
Matheus ZanonDepartment of Radiology, Universidade Federal de Ciências da Saúde de Porto Alegre, Rio Grande do Sul, Porto Alegre, Brazil.
Stephan AltmayerDepartment of Radiology, Universidade Federal de Ciências da Saúde de Porto Alegre, Rio Grande do Sul, Porto Alegre, Brazil; Postgraduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil.
Gabriel Sartori PaciniDepartment of Radiology, Universidade Federal de Ciências da Saúde de Porto Alegre, Rio Grande do Sul, Porto Alegre, Brazil.
Guilherme WattePostgraduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil.
Renato SteinPostgraduate Program in Pediatrics, Pontifícia Universidade Católica do Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil.
Paulo Márcio PitrezPostgraduate Program in Pediatrics, Pontifícia Universidade Católica do Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil.
Bruno HochheggerPostgraduate Program in Pediatrics, Pontifícia Universidade Católica do Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil; Department of Radiology, Universidade Federal de Ciências da Saúde de Porto Alegre, Rio Grande do Sul, Porto Alegre, Brazil; Postgraduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil. Electronic address: brunoho@ufcspa.edu.br.
Pontifícia Universidade Católica do Rio Grande do Sul · BRUniversidade Federal de Ciências da Saúde de Porto Alegre · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare quantitative CT parameters between children with severe asthma and healthy subjects, correlating to their clinical features.

methodsWe retrospectively analyzed CT data from 19 school-aged children (5-17 years) with severe asthma and 19 control school-aged children with pectus excavatum. The following CT parameters were evaluated: total lung volume (TLV), mean lung density (MLD), CT air trapping index (AT%) (attenuation ≤856 HU), airway wall thickness (AWT), and percentage of airway wall thickness (AWT%). Multi-detector computed tomography (MDCT) data were correlated to the following clinical parameters: forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), forced expiratory flow at 25-75% (FEF 25-75%), FEV1/FVC ratio, sputum and bronchoalveolar lavage analysis, serum IgE levels, and previous hospitalizations due to asthma.

resultsAsthma patients presented higher mean values of AT% (23.8 ± 6.7% vs. controls, 9.7 ± 3.2%), AWT (1.46 ± 0.22 mm vs. controls, 0.47 ± -735 ± 28 HU vs. controls, -666 ± 19 HU). Mean AT% was 29.0 ± 4.7% in subjects with previous hospitalization against 19.2 ± 5.0% in those with no prior hospitalization (p < 0.001). AT% presented very strong negative correlations with FVC (r = -0.933, p < 0.001) and FEV1 (r = -0.841, p < 0.001) and a moderate correlation with FEF 25-75% (r = -0.608, p = 0.007). AT% correlation with FEV1/FVC ratio and serum IgE was weak (r = -0.184, p = 0.452, and r = -0.363, p = 0.202)

conclusionChildren with severe asthma present differences in quantitative chest CT scans compared to healthy controls with strong correlations with pulmonary function tests and previous hospitalizations due to asthma.

Indexed as

AsthmaAdolescentAgedChildChild, PreschoolForced Expiratory VolumeHumansLungRespiratory Function TestsRetrospective StudiesTomography, X-Ray ComputedVital CapacityAsthmaBiomarkersChildrenPulmonary function testsQuantitative computed tomography

Identifiers

PMID32088141
PMCPMC9432233
OpenAlexW3007504649

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.