ArticleERJ open research2024
Factors most strongly associated with breathlessness in a population aged 50-64 years.
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 13 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Global prevalence of dyspnoea: a systematic review and meta-analysis.BMC pulmonary medicine · 2026Pooled it
- Prevalence and correlates of breathlessness in adults: an umbrella review and updated systematic review with meta-analysis in general and clinical populations.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Differences in uni-dimensional breathlessness measures and thresholds for clinical response in a randomised controlled trial in people with chronic breathlessness: an exploratory study.BMJ open respiratory research · 2024Trial
- Breathlessness limiting exertion and under- and unemployment: results from a national, online population survey.BMC public health · 2026Article
- Using AI to determine optimal cost-effective diagnostic pathways for chronic breathlessness.NPJ primary care respiratory medicine · 2026Article
- Global disparities in chronic dyspnoea prevalence in population-based studies: a comprehensive literature review.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Article
- Systemic inflammatory biomarkers (NLR, SII, PNI and FPR) combined with CEA for predicting advanced colorectal neoplasms: development and temporal validation of a machine learning model.Frontiers in oncology · 2026Article
- Multifactorial Determinants of Refractory Breathlessness in COPD: Development of the Refractory Breathlessness Score for Risk Stratification.International journal of chronic obstructive pulmonary disease · 2026Article
- Quality of life associated with breathlessness in the multinational Burden of Obstructive Lung Disease (BOLD) study: A cross-sectional analysis.Pulmonology · 2025Article
- Locus of control and breathlessness: a cross-sectional analysis of 28 730 people.ERJ open research · 2025Article
- Breathlessness in the general population.Current opinion in supportive and palliative care · 2025Review
- Activity-Related Breathlessness and Physical Activity in Women with Sedentary Behavior: A Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Breathlessness is a troublesome and prevalent symptom in the population, but knowledge of related factors is scarce. The aim of this study was to identify the factors most strongly associated with breathlessness in the general population and to describe the shapes of the associations between the main factors and breathlessness. Methods: A cross-sectional analysis was carried out of the multicentre population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) of adults aged 50 to 64 years. Breathlessness was defined as a modified Medical Research Council breathlessness rating ≥2. The machine learning algorithm extreme gradient boosting (XGBoost) was used to classify participants as either breathless or nonbreathless using 449 factors, including physiological measurements, blood samples, computed tomography cardiac and lung measurements, lifestyle, health conditions and socioeconomics. The strength of the associations between the factors and breathlessness were measured by SHapley Additive exPlanations (SHAP), with higher scores reflecting stronger associations. Results: A total of 28 730 participants (52% women) were included in the study. The strongest associated factors for breathlessness were (in order of magnitude): body mass index ( SHAP score 0.39), forced expiratory volume in 1 s (0.32), physical activity measured by accelerometery (0.27), sleep apnoea (0.22), diffusing lung capacity for carbon monoxide (0.21), self-reported physical activity (0.17), chest pain when hurrying (0.17), high-sensitivity C-reactive protein (0.17), recent weight change (0.14) and cough (0.13). Conclusion: This large population-based study of men and women aged 50-64 years identified the main factors related to breathlessness that may be prevented or amenable to public health interventions.
Identifiers
What OpenQuestion holds
Registered trials
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.