Nomogram for predicting suicide risk in pancreatic cancer patients: a retrospective study based on SEER database
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View abstract on PubMed
Summary
This summary is machine-generated.Suicide rates are higher in pancreatic cancer patients. This study identified key risk factors and developed a nomogram to predict suicide risk, aiding clinical support and personalized care for these patients.
Area Of Science
- Oncology
- Psychiatry
- Biostatistics
Background
- Pancreatic cancer patients exhibit a higher incidence of suicide compared to the general population and other cancer types.
- Identifying specific risk factors for suicide post-diagnosis is crucial for targeted interventions.
- Developing predictive models can aid in reducing suicide rates within this vulnerable patient group.
Purpose Of The Study
- To identify independent risk factors for suicide after a pancreatic cancer diagnosis.
- To develop and validate a predictive model (nomogram) for suicide risk.
- To enhance clinical practice through precise, personalized risk quantification.
Main Methods
- Utilized the Surveillance, Epidemiology, and End Results (SEER) database (2000-2020) for patient data.
- Employed LASSO and Cox regression to identify predictive factors for suicide.
- Developed and validated a nomogram using C-index, ROC curves, calibration plots, and DCA.
Main Results
- Included 129,301 pancreatic cancer patients in the analysis.
- Identified age at diagnosis, sex, marital status, surgery, and chemotherapy as independent predictors of suicide.
- The nomogram demonstrated acceptable predictive performance and clinical utility in both training and validation sets.
Conclusions
- The developed nomogram serves as a reliable tool for predicting suicide risk in pancreatic cancer patients.
- This tool supports personalized and precise risk assessment in clinical settings.
- The findings can contribute to proactive mental health support for pancreatic cancer patients.
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