Evidence map›Paper›PMID 40161867›Full record

ArticlePragmatic and observational research2025

Predicting Risk of Morbidities Associated with Oral Corticosteroid Prescription for Asthma.

Brooklyn Stanley, Jatin Chapaneri, Mina Khezrian, Ekaterina Maslova, Soram Patel, Mark Gurnell, Giorgio Walter Canonica, Helen K Reddel, Liam G Heaney, Arnaud Bourdin and 3 more

Abstract read
In one paragraph

Article in Pragmatic and observational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Asthma and corticosteroids "Frontiers in allergy · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. 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

13 authors.

Brooklyn StanleyObservational and Pragmatic Research Institute, Singapore, Singapore.ORCID 0000-0001-7855-129X
Jatin ChapaneriBioPharmaceutical Medical, AstraZeneca, Cambridge, UK.
Mina KhezrianBioPharmaceutical Medical, AstraZeneca, Cambridge, UK.
Ekaterina MaslovaBioPharmaceutical Medical, AstraZeneca, Cambridge, UK.
Soram PatelBioPharmaceutical Medical, AstraZeneca, Cambridge, UK.
Mark GurnellInstitute of Metabolic Science, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK.ORCID 0000-0001-5745-6832
Giorgio Walter CanonicaPersonalized Medicine, Asthma and Allergy, IRCCS Humanitas Research Hospital, Rozzano, Italy.ORCID 0000-0001-8467-2557
Helen K ReddelWoolcock Institute of Medical Research, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia.ORCID 0000-0002-6695-6350
Liam G HeaneyWellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.
Arnaud BourdinDépartement de Pneumologie et Addictologie, PhyMedExp, University of Montpellier, INSERM U1046, CNRS UMR 9214, Montpellier, France.ORCID 0000-0002-4645-5209
David L NeilObservational and Pragmatic Research Institute, Singapore, Singapore.ORCID 0000-0002-9994-9536
Victoria CarterObservational and Pragmatic Research Institute, Singapore, Singapore.
David B PriceObservational and Pragmatic Research Institute, Singapore, Singapore.ORCID 0000-0002-9728-9992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral corticosteroids (OCS) are commonly used to treat asthma but increase the risks for multiple morbidities; reducing OCS exposure may benefit patients. We analysed independent risk factors and longitudinal changes in OCS usage among patients with asthma to predict future risks of OCS-related adverse outcomes. Methods: Optimum Patient Care Research Database United Kingdom primary care electronic medical records (EMR) from January 1990 to June 2021 were used to select adults (18-93 years) with asthma who had follow-up data from ≥2 years before to ≥3 years after an index visit for active symptoms; this date was defined by the largest pre-visit to post-visit change in mean annual OCS use. OCS usage during every follow-up year was categorised as none, low (mean <2 prescriptions/year), or high (mean ≥2 prescriptions/year). Pre-index to post-index changes between usage categories were calculated. Risk modelling selected cohorts without 17 morbidities (documented pre-index) reported to be associated with OCS exposure, including type 2 diabetes, osteoporosis, hypertension, and pneumonia. Cox regression analyses selected published risk factors associated with each condition and available in EMR for inclusion in proportional hazards models. Results: The pre-index to post-index OCS usage category remained unchanged in 38.6% of patients, increased in 39.2%, and decreased in 22.2%, with 20.7% having no further OCS prescriptions. In models, the risks of all adverse outcomes increased with projected categoric OCS use; for example, hazard ratios for a one-category increment (none to low, low to high) were 1.55 (1.42-1.69) for type 2 diabetes, 1.56 (1.36-1.78) for post-menopausal osteoporosis, 1.05 (1.00-1.10) for hypertension, and 1.67 (1.52-1.83) for pneumonia (all p < 0.001). Conclusion: OCS exposure in this primary care asthma population usually continued longitudinally. Our models predict increased risk of multiple morbidities with higher projected OCS exposure. These findings support early initiation of strategies to minimise OCS use in asthma.

Indexed as

asthmacardiovascular diseasediabetesOPCRDOptimum Patient Care Research Databaseoral corticosteroidsosteoporosisrisk assessment

Identifiers

PMID40161867
PMCPMC11954399

What OpenQuestion holds

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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.