Evidence map›Paper›PMID 37342089›Full record

ArticleERJ open research2023

High use of short-acting β

Christer Janson, Fredrik Wiklund, Gunilla Telg, Georgios Stratelis, Hanna Sandelowsky

Abstract read
In one paragraph

Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Short-acting βERJ open research · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Observational
  16. 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

5 authors.

Christer JansonDepartment of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0001-5093-6980
Fredrik WiklundStatisticon AB, Uppsala, Sweden.
Gunilla TelgAstraZeneca Nordic, Stockholm, Sweden.
Georgios StratelisDepartment of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
Hanna SandelowskyDepartment of Medicine, Solna, Division of Clinical Epidemiology, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Short-acting β Methods: This observational study identified COPD patients in primary care medical records in Sweden. Data were linked to the National Patient Registry, the Prescribed Drug Registry and the Cause of Death Registry. The index date was 12 months after the date of COPD diagnosis. During a 12-month prior to index baseline period, information on SABA use was collected. Patients were followed with respect to exacerbations and mortality for 12 months post index. Results: Of the 19 794 COPD patients included (mean age 69.1 years, 53.3% females), 15.5% and 7.0% had collected ≥3 or ≥6 SABA canisters during the baseline period, respectively. A higher level of SABA use (≥6 canisters) was independently associated with a higher risk of both moderate and severe exacerbations (hazard ratio (HR) 1.28 (95% CI 1.17‒1.40) and 1.76 (95% CI 1.50‒2.06), respectively) during follow-up. In total, 673 (3.4%) patients died during the 12-month follow-up period. An independent association was found between high SABA use and overall mortality (HR 1.60, 95% CI 1.07‒2.39). This association, however, was not found in patients using inhaled corticosteroids as maintenance treatment. Conclusion: In COPD patients in Sweden, high SABA use is relatively common and associated with a higher risk of exacerbations and all-cause mortality.

Identifiers

PMID37342089
PMCPMC10277875

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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.