Evidence map›Paper›PMID 38887677›Full record

ArticleERJ open research2024

The treatable traits of asthma in pregnancy: a clinical audit.

Katarzyna Duszyk, Vanessa Marie McDonald, Dennis Thomas, Kelly Steel, Peter Gerard Gibson

Abstract read
In one paragraph

Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The value of treatable traits across the spectrum of adult asthma severity.Chinese medical journal pulmonary and critical care medicine · 2025
    Review
  3. 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

5 authors.

Katarzyna DuszykCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia.
Vanessa Marie McDonaldCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia.
Dennis ThomasCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia.ORCID https://orcid.org/0000-0003-4182-6821
Kelly SteelCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia.
Peter Gerard GibsonCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia.ORCID https://orcid.org/0000-0001-5865-489X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Poor asthma control in pregnancy is associated with adverse perinatal outcomes. Treatable traits improve patient outcomes but the pattern and prevalence of treatable traits in pregnant women with asthma is unknown. Whether treatable traits in pregnant women with asthma can be identified Methods: Pregnant women with asthma (n=196) underwent an assessment by an asthma nurse educator and a respiratory physician Results: Pregnant women with asthma had a mean±sd of 7.5±2.0 treatable traits per person including 1.0±0.7 treatable traits per person in the pulmonary domain, 3.5±1.56 in the extrapulmonary domain and 2±0.9 in the risk factor/behavioural domain. Treatable traits in the behavioural/risk factor domain were most prevalent and these included limited asthma knowledge (96%), inadequate inhaler technique (84%) and no written asthma action plan (80%). On average 3.8±1.24 interventions per person were delivered for a mean±sd of 7.5±2.0 treatable traits per person. Conclusion: Virtual antenatal asthma care is a feasible approach for assessing treatable traits in pregnant women with mild asthma

Identifiers

PMID38887677
PMCPMC11181053

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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.