Community-based prediction models of cardiovascular events, acute exacerbations and all-cause mortality in individuals with chronic obstructive pulmonary disease: a systematic review and meta-analysis on behalf of the International Cardiovascular and Respiratory Alliance.
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| Title: | Community-based prediction models of cardiovascular events, acute exacerbations and all-cause mortality in individuals with chronic obstructive pulmonary disease: a systematic review and meta-analysis on behalf of the International Cardiovascular and Respiratory Alliance. |
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| Authors: | Joseph T; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK t.joseph@leeds.ac.uk.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.; Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK., Raveendra K; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Haris M; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.; Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK., Kirupananthan J; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Aslam A; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Mircescu A; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Bhardwaj A; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Wong A; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Nadarajah R; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.; Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK., Price DB; Observational and Pragmatic Research Institute, Singapore.; University of Aberdeen Academic Primary Care Research Group, Aberdeen, UK., Bhutani M; Medicine, University of Alberta, Edmonton, Alberta, Canada., Gale C; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.; Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK. |
| Source: | BMJ open respiratory research [BMJ Open Respir Res] 2026 Feb 27; Vol. 13 (1). Date of Electronic Publication: 2026 Feb 27. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| Journal Info: | Publisher: BMJ Publishing Group Ltd & British Thoracic Society Country of Publication: England NLM ID: 101638061 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4439 (Electronic) Linking ISSN: 20524439 NLM ISO Abbreviation: BMJ Open Respir Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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