Suicide Risk Prediction in Cancer Patients

December 11, 2023 updated by: Fang Tang

Suicide Risk Prediction in Cancer Patients: a Retrospective Cohort Study

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.

Study Overview

Status

Completed

Conditions

Detailed Description

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.

Study Type

Observational

Enrollment (Actual)

176000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Shandong
      • Jinan, Shandong, China, 250014
        • The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Cancer patients in the Surveillance, Epidemiology, and End Results (SEER) program database and Shandong Multi-Center Healthcare Big Data Platform (SMCHBDP).

Description

Inclusion Criteria:

1. Cancer patients in SEER database and SMCHBDP

Exclusion Criteria:

  1. No certain cause of death
  2. Missing area code
  3. Lost to follow-up

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
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.

What is the study measuring?

Primary Outcome Measures

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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Fang Tang

Investigators

  • Principal Investigator: Fang Tang, Doctor, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 1979

Primary Completion (Actual)

December 31, 2021

Study Completion (Actual)

December 31, 2021

Study Registration Dates

First Submitted

December 4, 2023

First Submitted That Met QC Criteria

December 4, 2023

First Posted (Actual)

December 12, 2023

Study Record Updates

Last Update Posted (Estimated)

December 15, 2023

Last Update Submitted That Met QC Criteria

December 11, 2023

Last Verified

December 1, 2023

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • YXLL-KY-2023(139)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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