TY - JOUR PY - 2022// TI - Predictive modeling for suicide-related outcomes and risk factors among patients with pain conditions: a systematic review JO - Journal of clinical medicine A1 - Huang, Shu A1 - Lewis, Motomori O. A1 - Bao, Yuhua A1 - Adekkanattu, Prakash A1 - Adkins, Lauren E. A1 - Banerjee, Samprit A1 - Bian, Jiang A1 - Gellad, Walid F. A1 - Goodin, Amie J. A1 - Luo, Yuan A1 - Fairless, Jill A. A1 - Walunas, Theresa L. A1 - Wilson, Debbie L. A1 - Wu, Yonghui A1 - Yin, Pengfei A1 - Oslin, David W. A1 - Pathak, Jyotishman A1 - Lo-Ciganic, Wei-Hsuan SP - e4813 EP - e4813 VL - 11 IS - 16 N2 - Suicide is a leading cause of death in the US. Patients with pain conditions have higher suicidal risks. In a systematic review searching observational studies from multiple sources (e.g., MEDLINE) from 1 January 2000-12 September 2020, we evaluated existing suicide prediction models' (SPMs) performance and identified risk factors and their derived data sources among patients with pain conditions. The suicide-related outcomes included suicidal ideation, suicide attempts, suicide deaths, and suicide behaviors. Among the 87 studies included (with 8 SPM studies), 107 suicide risk factors (grouped into 27 categories) were identified. The most frequently occurring risk factor category was depression and their severity (33%). Approximately 20% of the risk factor categories would require identification from data sources beyond structured data (e.g., clinical notes). For 8 SPM studies (only 2 performing validation), the reported prediction metrics/performance varied: C-statistics (n = 3 studies) ranged 0.67-0.84, overall accuracy(n = 5): 0.78-0.96, sensitivity(n = 2): 0.65-0.91, and positive predictive values(n = 3): 0.01-0.43. Using the modified Quality in Prognosis Studies tool to assess the risk of biases, four SPM studies had moderate-to-high risk of biases. This systematic review identified a comprehensive list of risk factors that may improve predicting suicidal risks for patients with pain conditions. Future studies need to examine reasons for performance variations and SPM's clinical utility.

Language: en

LA - en SN - 2077-0383 UR - http://dx.doi.org/10.3390/jcm11164813 ID - ref1 ER -