Literature DB >> 30489483

Incidence rate and risk factors for suicide death in patients with skin malignant melanoma: a Surveillance, Epidemiology, and End Results analysis.

Jin Yang1,2, Siying Chen3, Yuanjie Li4, Bin Wang5, Xiaojing Xin5, Xia Xue6, Zhenyu Pan1,2,6, Jun Lyu1,2.   

Abstract

The purpose of this study was to use the Surveillance, Epidemiology, and End Results database to identify the incidence rate and risk factors for suicide death in patients with skin malignant melanoma (MM) in the USA. We screened cases of skin MM in the SEER database. The balance of covariates between the two groups was examined by the χ-test and Fisher's exact test. Logistic regression was used to identify independent risk factors for committing suicide. A propensity 1: 2 matched analysis was applied to minimize the risk of bias. In total, 103 500 patients with skin MM were included in the study, of whom 623 had died of suicide. The rate of suicide death did not differ significantly between different time intervals. In logistic regression before propensity score matching, age, being divorced, separated, or widowed, receiving radiation or chemotherapy, and the elapsed time since diagnosis were independently associated with an increased rate of suicide death. Only age (P  <  0.001) and being in the first year after a diagnosis (P  <  0.001) significantly increased the risk of suicide death after propensity score matching. In addition, after the propensity score matching, age was a risk factor for localized, regional, and unstaged, and being the first year after a diagnosis was only a risk factor for regional. It is important to identify and treat people at risk of suicide as early as possible. These results can help clinicians to understand suicidal patients and provide them with appropriate support.

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Year:  2020        PMID: 30489483     DOI: 10.1097/CMR.0000000000000559

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  3 in total

1.  Suicide and Accidental Death Among Women With Primary Ovarian Cancer: A Population-Based Study.

Authors:  Ying Chen; Kaixu Yu; Jiaqiang Xiong; Jinjin Zhang; Su Zhou; Jun Dai; Meng Wu; Shixuan Wang
Journal:  Front Med (Lausanne)       Date:  2022-03-16

Review 2.  Brief introduction of medical database and data mining technology in big data era.

Authors:  Jin Yang; Yuanjie Li; Qingqing Liu; Li Li; Aozi Feng; Tianyi Wang; Shuai Zheng; Anding Xu; Jun Lyu
Journal:  J Evid Based Med       Date:  2020-02-22

3.  Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy.

Authors:  Chao-Yang Wang; Jin Yang; Hao Zi; Zhong-Li Zheng; Bing-Hui Li; Yang Wang; Zheng Ge; Guang-Xu Jian; Jun Lyu; Xiao-Dong Li; Xue-Qun Ren
Journal:  BMC Cancer       Date:  2020-01-06       Impact factor: 4.430

  3 in total

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