title: Identification of suicide-related events through network analysis of adverse event reports.
abstract: BACKGROUND
  In the treatment of depression, it is essential to monitor for early warnings of suicide.
  
  
  OBJECTIVE
  The aim of this study was to identify the symptoms that would suggest a high suicide risk by analyzing data obtained from the US Food and Drug Administration Adverse Event Reporting System (FAERS) of selective serotonin reuptake inhibitors.
  
  
  METHODS
  Using FAERS reports from 1997 to the second quarter of 2012, we constructed the co-occurrence network of adverse events. From this network, we extracted the events that were strongly connected to suicidal events (suicidal attempts, suicidal ideation, suicidal behavior, and complete suicide) by means of the community detection method.
  
  
  RESULTS
  We succeeded in obtaining a list of suicide-related adverse events. Owing to the randomness inherent in the algorithms of community detection, we found that the obtained list differed according to each trial of analysis. However, the lists we derived show considerable efficiency in identifying suicidal events.
  
  
  CONCLUSIONS
  The network analysis appears to be a promising method for identifying signals of suicide.
authors.affiliation: The United Graduate School of Drug Discovery and Medical Information Sciences of Gifu University, Yanagido 1-1, Gifu, 501-1194, Japan, alwis.nazir@gmail.com.
authors.forename: Alwis
authors.initials: A
authors.lastname: Nazir
authors.forename: Takashi
authors.initials: T
authors.lastname: Ichinomiya
authors.forename: Nobuteru
authors.initials: N
authors.lastname: Miyamura
authors.forename: Yasuaki
authors.initials: Y
authors.lastname: Sekiya
authors.forename: Yasutomi
authors.initials: Y
authors.lastname: Kinosada
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems; D000465:Algorithms; D062313:Databases, Pharmaceutical; D003863:Depression / Q000523:psychology / Q000628:therapy; D006801:Humans; D012307:Risk Factors; D017367:Selective Serotonin Reuptake Inhibitors / Q000009:adverse effects*; D013405:Suicide / Q000523:psychology / Q000706:statistics & numerical data*; D014481:United States; D014486:United States Food and Drug Administration; D000092864:Suicide Prevention
chemical_list: D017367:Selective Serotonin Reuptake Inhibitors