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Background: Patients diagnosed with advanced stage cancer face an elevated risk of suicide. We aimed to develop a suicidal ideation (SI) risk prediction model in patients with advanced cancer for early warning of their SI and facilitate suicide prevention in this population. Patients and Methods: We consecutively enrolled patients with multiple types of advanced cancers from 10 cancer institutes in China from August 2019 to December 2020. Demographic characteristics, clinicopathological data, and clinical treatment history were extracted from medical records. Symptom burden, psychological status, and SI were assessed using the MD Anderson Symptom Inventory (MDASI), Hospital Anxiety and Depression Scale (HADS), and Patient Health Questionnaire‐9 (PHQ‐9), respectively. A multivariable logistic regression model was employed to establish the model structure. Results: In total, 2814 participants were included in the final analysis. Nine predictors including age, sex, number of household members, history of previous chemotherapy, history of previous surgery, MDASI score, HADS‐A score, HADS‐D score, and life satisfaction were retained in the final SI prediction model. The model achieved an area under the curve (AUC) of 0.85 (95% confidential interval: 0.82–0.87), with AUCs ranging from 0.75 to 0.95 across 10 hospitals and higher than 0.83 for all cancer types. Conclusion: This study built an easy‐to‐use, good‐performance predictive model for SI. Implementation of this model could facilitate the incorporation of psychosocial support for suicide prevention into the standard care of patients with advanced cancer. [ABSTRACT FROM AUTHOR]

Objective: Recent research has documented psychological distress in advanced breast cancer (ABC) patients, but few studies have examined how death anxiety is affected by the symptom burden. Therefore, this study aims to explore the association among symptom burden, death anxiety and psychological distress (depression and anxiety) in ABC patients., Methods: This cross-sectional study used the Death and Dying Anxiety Scale (DADDS), 9-item Patient Health Questionnaire (PHQ-9), General Anxiety Disorder-7 (GAD-7) and MD Anderson Symptom Inventory (MDASI) to assess death anxiety, depression, anxiety, and symptom burden, respectively. Bias-corrected bootstrapping methods were used to estimate indirect effects and 95% confidence intervals., Results: Two hundred ABC patients completed the questionnaires. All of the respondents were females, with a mean age of 50±10 years. Initial correlation analyses revealed significant associations of death anxiety with depression (r=0.57, P<0.001), anxiety (r=0.60, P<0.001) and symptom burden (r=0.43, P<0.001). Moreover, depression (r=0.53, P<0.001) and anxiety (r=0.45, P<0.001) were significantly correlated with symptom burden. An analysis using Hayes' PROCESS macro revealed the partial effecting role of death anxiety in the relationship between depression and symptom burden, and between anxiety and symptom burden (contributions to the total effect of 0.247 and 0.469, respectively)., Conclusions: This study provides insight into the relationship between death anxiety and symptom burden. The results suggest that interventions addressing death anxiety may be more effective for alleviating the depression and anxiety experienced by ABC patients with a symptom burden., Competing Interests: Conflicts of Interest: The authors have no conflicts of interest to declare., (© Chinese Journal of Cancer Research. All rights reserved.)