Suicidal Ideation in Newly-Diagnosed Chinese Cancer Patients

Zhang, Yongfu; Li, Wengao; Sun, Hengwen; Garg, Samradhvi; Yang, Yuan; Wang, Hongmei

doi:10.3389/fpsyt.2020.00708

Cited by 9 publications

(3 citation statements)

References 44 publications

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“…Nearly half were conducted in the USA ( n = 38, 44%), followed by South Korea ( n = 7, 8%), Canada ( n = 6, 7%), and the United Kingdom (UK) ( n = 6, 7%). Eleven studies (13%) included cancer patients [ 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 ]. The most common physical pain conditions specified included fibromyalgia, cancer pain, and back pain/low back pain.…”

Section: Resultsmentioning

confidence: 99%

Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review

Huang

Lewis

Bao

et al. 2022

JCM

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Suicide is a leading cause of death in the US. Patients with pain conditions have higher suicidal risks. In a systematic review searching observational studies from multiple sources (e.g., MEDLINE) from 1 January 2000–12 September 2020, we evaluated existing suicide prediction models’ (SPMs) performance and identified risk factors and their derived data sources among patients with pain conditions. The suicide-related outcomes included suicidal ideation, suicide attempts, suicide deaths, and suicide behaviors. Among the 87 studies included (with 8 SPM studies), 107 suicide risk factors (grouped into 27 categories) were identified. The most frequently occurring risk factor category was depression and their severity (33%). Approximately 20% of the risk factor categories would require identification from data sources beyond structured data (e.g., clinical notes). For 8 SPM studies (only 2 performing validation), the reported prediction metrics/performance varied: C-statistics (n = 3 studies) ranged 0.67–0.84, overall accuracy(n = 5): 0.78–0.96, sensitivity(n = 2): 0.65–0.91, and positive predictive values(n = 3): 0.01–0.43. Using the modified Quality in Prognosis Studies tool to assess the risk of biases, four SPM studies had moderate-to-high risk of biases. This systematic review identified a comprehensive list of risk factors that may improve predicting suicidal risks for patients with pain conditions. Future studies need to examine reasons for performance variations and SPM’s clinical utility.

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Section: Resultsmentioning

confidence: 99%

Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review

Huang

Lewis

Bao

et al. 2022

JCM

View full text Add to dashboard Cite

show abstract

“…Cancer diagnosis causes mental breakdown, cancer treatments generate side effects, cancer stigma leads to social isolation, and cancer costs also leave a financial burden, all of which could push cancer patients at a high risk of suicide [ 7 – 10 ]. Due to the destructiveness and rapidity of suicide, suicide has become one of the main reasons behind the death rate affecting cancer patients [ 11 , 12 ]. Therefore, cancer patients are 3 to 4 times more likely to commit suicide than other people [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer

et al. 2022

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Background Suicidal ideation in cancer patients is a critical challenge. At present, few studies focus on factors associated with suicidal ideation, and predictive models are still lacking. This study aimed at investigating the risk factors for suicidal ideation among cancer patients, and developed a predictive nomogram to screen high risk cancer patients for early prevention and intervention. Methods A questionnaire survey was conducted among cancer patients between May 2021 and January 2022. The factors associated with suicidal ideation were used to construct a multivariate logistic regression model, which was visualized as a predictive nomogram to evaluate the risk of suicidal ideation. Areas under the curve, calibration plot, decision curve analysis, and internal and external validation were used to validate the discrimination, calibration and clinical usefulness of the model. Results A total of 820 patients with cancer were recruited for this study and 213 (25.98%) developed suicidal ideation. Levels of demoralization, depression and cancer staging, marital status, residence, medical financial burden, and living condition were influence factors for suicidal ideation. Comparing nomogram with Self-rating Idea of Suicide Scale (SIOSS), the nomogram had a satisfactory discrimination ability with an AUC of 0.859 (95% CI: 0.827–0.890) and 0.818 (95% CI: 0.764–0.873) in the training and validation sets, respectively. The calibration plot and decision curve analysis revealed that this nomogram was in good fitness and could be beneficial in clinical applications. Conclusions Suicidal ideation is common in cancer patients. Levels of demoralization, depression and cancer staging were independent predictors of suicidal ideation. The nomogram is an effective and simple tool for predictive suicidal ideation in cancer patients.

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“…As the most common psychiatric comorbidities of cancer patients, anxiety and depression were also proposed to be risk factors for suicide 20–22 . Therefore, we aimed to investigate the prevalence of anxiety and depressive disorders during the periods before and after cancer diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Investigation of anxiety and depressive disorders and psychiatric medication use before and after cancer diagnosis

et al. 2021

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Objective Data regarding the prevalence of depression and anxiety among cancer patients, especially before cancer diagnosis, remains scarce. This study investigated the prevalence of these conditions and associated drug use among cancer patients pre‐ and post‐diagnosis. Methods This population‐based cohort study using data from Taiwan's National Health Insurance Research Database recruited patients with a registered cancer diagnosis and matched control between January 1, 2000, and December 31, 2011. We compared the prevalence of anxiety and depressive disorders between cancer patients and non‐cancer participants during a 2‐year period both pre‐ and post‐diagnosis by Pearson's chi‐square test. Psychiatric medication use was also examined for the associated mental condition. Results We examined participants diagnosed with liver (N = 17,154), colorectal (N = 30,391), breast (N = 40,036), gynecological (N = 23,218), and lung (N = 15,671) cancer. Before the cancer diagnosis, the prevalence of depression was higher in non‐cancer participants than in gynecological cancer patients (p = 0.018) but anxiety is higher in liver, colorectal, and lung cancer patients when compared to non‐cancer participants (p < 0.05). After the cancer diagnosis, the prevalence of anxiety and depression became significantly higher in all enrolled cancer patients than non‐cancer participants (p < 0.05). Similar results were observed in psychiatric medication use trends. Conclusions This study proposed that patients with liver, colorectal, and lung cancer had an increased risk of developing anxiety, which might be a sentinel diagnosis. The participants had a significantly higher level of anxiety and depressive disorder post‐diagnosis, which highlights the importance of the care for both mental and physical conditions in cancer management.

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Suicidal Ideation in Newly-Diagnosed Chinese Cancer Patients

Cited by 9 publications

References 44 publications

Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review

Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review

Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer

Investigation of anxiety and depressive disorders and psychiatric medication use before and after cancer diagnosis

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