Trial reportSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025
Characterization of multidimensional dyspnea in advanced lung cancer with moderate to severe dyspnea-related functional impairment: a latent profile analysis.
Trial report in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Judicious use of latent profile analysis in supportive care: the distinction between mono- and multi-construct applications.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
purposeDyspnea impacts most patients with advanced lung cancer. However, research on dyspnea has been limited by using unidimensional self-report measures despite its multidimensional nature (sensory-perceptual experience, affective distress, and functional impact), which requires a comprehensive evaluation. To identify distinct patient profiles of dyspnea presentation and evaluate differences in demographic, clinical characteristics, and patient-reported outcomes (i.e., functional impairment, quality of life, co-occurring symptoms, and self-efficacy).
methodsA cross-sectional, secondary analysis of 247 patients with advanced lung cancer reporting moderate-to-severe dyspnea was conducted using baseline data from a randomized controlled trial testing a behavioral intervention for dyspnea. The patient profiles of dyspnea were identified using latent profile analysis of the Cancer Dyspnea Scale. Differences among the profiles were assessed through parametric and non-parametric methods.
resultsFour-class solutions were identified: All Mild (A-Mild: 53%), Moderate Effort and Discomfort & Mild Anxiety (Moderate ED & Mild A: 25.9%), All Moderate (A-Moderate: 16.6%), and All Severe (A-Severe: 4.5%) dyspnea profiles. No significant differences were found among demographic and clinical variables across the profiles. Compared to the A-Mild profile, the other three profiles reported more significant functional impairment due to dyspnea, increased levels of depression, anxiety, and fatigue, and reduced quality of life. The A-Severe profile exhibited lower self-efficacy than the Moderate ED & Mild A and the A-Moderate profiles.
conclusionOur findings highlight the multidimensional nature of dyspnea, which results in distinct patient presentations. Clinicians can create targeted interventions tailored to individual needs by classifying dyspnea symptom profiles.
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