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Association between suicide and multiple sclerosis: An updated meta-analysis.

Qiuyan Shen1, Haitao Lu1, Dan Xie1

  • 1Department of Neurology, 7 Guo Xue Xiang, Chengdu, Sichuan Province, 610041, PR China.

Multiple Sclerosis and Related Disorders
|June 25, 2019
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This summary is machine-generated.

Multiple sclerosis (MS) patients have a significantly higher risk of suicide compared to the general population. This risk is particularly elevated at the time of MS diagnosis.

Keywords:
Meta-analysisMultiple sclerosis, Suicide

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Area of Science:

  • Neurology
  • Psychiatry
  • Epidemiology

Background:

  • The relationship between multiple sclerosis (MS) and suicide risk is a subject of ongoing debate.
  • Previous studies have yielded conflicting results regarding increased suicide rates in MS patients.

Purpose of the Study:

  • To conduct a meta-analysis to definitively evaluate the risk of suicide in individuals diagnosed with multiple sclerosis.
  • To synthesize existing data to provide a clearer understanding of the association between MS and suicide.

Main Methods:

  • A systematic literature search was performed across PubMed, EMBASE, and Web of Science databases up to December 2018.
  • Sixteen eligible studies comparing suicide risk in MS patients to the general population were included.
  • Random-effects meta-analyses were employed to calculate the pooled suicide rate ratio (SRR) and confidence intervals (CIs).

Main Results:

  • A statistically significant association was found between multiple sclerosis and suicide, with a pooled SRR of 1.72 (95% CI 1.48-1.99).
  • The risk of suicide was notably higher at the time of MS diagnosis (SRR 2.12, 95% CI 1.84-2.46) compared to symptom onset (SRR 1.69, 95% CI 1.43-2.00).
  • Preliminary findings suggest a potential influence of gender, though this requires further investigation.

Conclusions:

  • This meta-analysis confirms a significant association between multiple sclerosis and an increased risk of suicide.
  • The study highlights a critical period of elevated risk around the time of diagnosis.
  • Further large-scale research is recommended to validate these findings and explore potential contributing factors like ethnicity and geography.