Suicide Risk Prediction in Cancer Patients
1 other identifier
observational
176,000
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 1979
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 1979
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2021
CompletedFirst Submitted
Initial submission to the registry
December 4, 2023
CompletedFirst Posted
Study publicly available on registry
December 12, 2023
CompletedDecember 15, 2023
December 1, 2023
43 years
December 4, 2023
December 11, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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
Study Arms (2)
Cancer patients cohort in SEER database
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
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.
Eligibility Criteria
Cancer patients in the Surveillance, Epidemiology, and End Results (SEER) program database and Shandong Multi-Center Healthcare Big Data Platform (SMCHBDP).
You may qualify if:
- \. Cancer patients in SEER database and SMCHBDP
You may not qualify if:
- No certain cause of death
- Missing area code
- Lost to follow-up
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Fang Tanglead
Study Sites (1)
The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital
Jinan, Shandong, 250014, China
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Fang Tang, Doctor
The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Doctor
Study Record Dates
First Submitted
December 4, 2023
First Posted
December 12, 2023
Study Start
January 1, 1979
Primary Completion
December 31, 2021
Study Completion
December 31, 2021
Last Updated
December 15, 2023
Record last verified: 2023-12