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Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128228/ https://www.ncbi.nlm.nih.gov/pubmed/35610595 http://dx.doi.org/10.1186/s12888-022-03987-z |
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author | Luo, Yuanyuan Lai, Qianlin Huang, Hong Luo, Jiahui Miao, Jingxia Liao, Rongrong Yang, Zhihui Zhang, Lili |
author_facet | Luo, Yuanyuan Lai, Qianlin Huang, Hong Luo, Jiahui Miao, Jingxia Liao, Rongrong Yang, Zhihui Zhang, Lili |
author_sort | Luo, Yuanyuan |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03987-z. |
format | Online Article Text |
id | pubmed-9128228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91282282022-05-25 Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer Luo, Yuanyuan Lai, Qianlin Huang, Hong Luo, Jiahui Miao, Jingxia Liao, Rongrong Yang, Zhihui Zhang, Lili BMC Psychiatry Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03987-z. BioMed Central 2022-05-24 /pmc/articles/PMC9128228/ /pubmed/35610595 http://dx.doi.org/10.1186/s12888-022-03987-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Luo, Yuanyuan Lai, Qianlin Huang, Hong Luo, Jiahui Miao, Jingxia Liao, Rongrong Yang, Zhihui Zhang, Lili Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer |
title | Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer |
title_full | Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer |
title_fullStr | Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer |
title_full_unstemmed | Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer |
title_short | Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer |
title_sort | risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128228/ https://www.ncbi.nlm.nih.gov/pubmed/35610595 http://dx.doi.org/10.1186/s12888-022-03987-z |
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