ArticleFrontiers in psychiatry2023
Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC).
Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Fear of cancer recurrence and perceived pain in patients with breast cancer: A network analysis approach.Asia-Pacific journal of oncology nursing · 2025Article
- Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation.Psychometrika · 2025Article
- The mediating role of attribution style between psychological predictors and resilience in women newly diagnosed with breast cancer: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Association between fear of cancer recurrence and emotional distress in breast cancer: a latent profile and moderation analysis.Frontiers in psychiatry · 2025Article
- Associations Between Brain Structural Connectivity and 1-Year Demoralization in Breast Cancer: A Longitudinal Diffusion Tensor Imaging Study.Depression and anxiety · 2024Article
- Brain Connectomics Improve the Prediction of High-Risk Depression Profiles in the First Year following Breast Cancer Diagnosis.Depression and anxiety · 2024Article
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Authors and funding
9 authors.
Funding
Abstract
Objective: The application of advanced Cognitive Diagnosis Models (CDMs) in the Patient Reported Outcome (PRO) is limited due to its complex statistics. This study was designed to measure resilience using CDMs and its prediction of 6-month Quality of Life (QoL) in breast cancer. Methods: A total of 492 patients were longitudinally enrolled from Be Resilient to Breast Cancer (BRBC) and administered with 10-item Resilience Scale Specific to Cancer (RS-SC-10) and Functional Assessment of Cancer Therapy-Breast (FACT-B). Generalized Deterministic Input, Noisy "And" Gate (G-DINA) was performed to measure cognitive diagnostic probabilities (CDPs) of resilience. Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental prediction value of cognitive diagnostic probabilities over total score. Results: CDPs of resilience improved prediction of 6-month QoL above conventional total score. AUC increased from 82.6-88.8% to 95.2-96.5% in four cohorts (all Conclusion: CDPs of resilience contribute to a more accurate prediction of 6-month QoL above conventional total score. CDMs could help optimize Patient Reported Outcomes (PROs) measurement in breast cancer.
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