Suicide Risk Prediction in Cancer Patients

Study Overview
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Brief Summary
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Previous studies have found that the suicide risk of cancer patients is influenced by socioeconomic factors, clinical characteristics, and environmental factors. But prediction model with multiple predictors for suicide risk in cancer patients is limited. The aim of this study is to assess the association of socioeconomic factors, clinical characteristics and meteorological factors with cancer patients' suicide, based on retrospective cohorts, and to establish a suicide risk prediction model with multiple predictors for cancer patients.

Detailed Description
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Cancer is a serious public health concern, with almost 10 million people dying from cancer in 2020. Previous studies have reported that cancer patients are more likely to die by suicide than the general public, especially in the six months to one year following cancer diagnosis. Since suicide is a result of the interaction of various factors such as socioeconomic factors, clinical characteristics, and environmental factors, it is necessary to construct a multivariate prediction model to predict the suicide risk in cancer patients. A retrospective cohort of cancer patients based on the Surveillance, Epidemiology, and End Results (SEER) program database was used to assess the association of socioeconomic factors, clinical characteristics and meteorological factors with cancer patients' suicide, and to establish prediction model with multiple predictors for cancer patients. Another retrospective cohort conducted from Shandong Multi-Center Healthcare Big Data Platform (SMCHBDP) was used to verify the predictive ability and generalization ability of the prediction model.

Official Title
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Suicide Risk Prediction in Cancer Patients: a Retrospective Cohort Study

Conditions
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Cancer

Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: 1. Cancer patients in SEER database and SMCHBDP Exclusion Criteria: No certain cause of death Missing area code Lost to follow-up
Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Cancer patients cohort in SEER database<br>A retrospective cohort of cancer patients based on the Surveillance, Epidemiology, and End Results (SEER) program database was used to assess the association of socioeconomic factors, clinical characteristics and meteorological factors with cancer patients' suicide, and to establish prediction model with multiple predictors for cancer patient | |
| Cancer patients cohort in SMCHBDP<br>Retrospective cohort conducted from Shandong Multi-Center Healthcare Big Data Platform (SMCHBDP) was used to verify the predictive ability and generalization ability of the prediction model. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Mortality attributed to suicide or self-inflicted injury | The main outcome was mortality attributed to suicide or self-inflicted injury after cancer diagnosis. | 1979-2021 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Cancer patients, Suicide risk, Prediction model, Meteorological factors