Evidence map›Paper›PMID 27573451›Full record

ArticleThorax2017

Bronchiectasis and the risk of cardiovascular disease: a population-based study.

Vidya Navaratnam, Elizabeth R C Millett, John R Hurst, Sara L Thomas, Liam Smeeth, Richard B Hubbard, Jeremy Brown, Jennifer K Quint

Open access · hybridAbstract read
In one paragraph

Article in Thorax, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Guideline
  2. A systematic literature review of the clinical and socioeconomic burden of bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Pooled it
  3. Treatable traits-based management of bronchiectasis: moving from theory to clinical practice.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. ERJ open research · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Biomarkers in bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  19. Exacerbations of bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  20. 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.

Vidya NavaratnamDivision of Epidemiology and Public Health, University of Nottingham, Nottingham, UK.
Elizabeth R C MillettFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
John R HurstCentre for Inflammation and Tissue Repair, University College London, London, UK.
Sara L ThomasFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Richard B HubbardDivision of Epidemiology and Public Health, University of Nottingham, Nottingham, UK.
Jeremy BrownCentre for Inflammation and Tissue Repair, University College London, London, UK.
Jennifer K QuintFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-0149-4869
London School of Hygiene & Tropical Medicine · GBCentre for Inflammation Research · GBUniversity of Nottingham · GB

Funding

Department of Health CDF-2010-03-32Medical Research Council G0902135Medical Research Council MR/K006584/1
6 · The paper itself

Abstract

backgroundThere are limited data on the burden of cardiovascular comorbidities in people with bronchiectasis. Our cross-sectional study estimates the burden of pre-existing diagnoses of coronary heart disease (CHD) and stroke in people with bronchiectasis compared with the general population. The historical cohort study investigates if individuals with bronchiectasis are at increased risk of incident CHD and stroke events.

methodsWe used primary care electronic records from the Clinical Practice Research Datalink. The cross-sectional study used logistic regression to quantify the association between bronchiectasis and recorded diagnoses of CHD or stroke. Cox regression was used to investigate if people with bronchiectasis experienced increased incident CHD and strokes compared with the general population, adjusting for age, sex, smoking habit and other risk factors for cardiovascular disease.

resultsPre-existing diagnoses of CHD (OR 1.33, 95% CI 1.25 to 1.41) and stroke (OR 1.92, 95% CI 1.85 to 2.01) were higher in people with bronchiectasis compared with those without bronchiectasis, after adjusting for age, sex, smoking and risk factors for cardiovascular disease. The rate of first CHD and stroke were also higher in people with bronchiectasis (HR for CHD 1.44 (95% CI 1.27 to 1.63) and HR for stroke 1.71 (95% CI 1.54 to 1.90)).

conclusionThe risk of CHD and stroke are higher among people with bronchiectasis compared with the general population. An increased awareness of these cardiovascular comorbidities in this population is needed to provide a more integrated approach to the care of these patients.

Indexed as

AdultAgedBronchiectasisCardiovascular DiseasesCross-Sectional StudiesFemaleHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsStrokeUnited KingdomBronchiectasisClinical Epidemiology

Identifiers

PMID27573451
PMCPMC5284336
OpenAlexW2513619026

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.