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Paediatric antidepressants: Benefits and risks.

David Healy1, Joanna Le Noury2, Jon Jureidini3

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The International Journal of Risk & Safety in Medicine
|June 6, 2018
PubMed
Summary
This summary is machine-generated.

Data on antidepressant use in children and adolescents is scarce, with academic and regulatory sources conflicting. Physicians may need greater autonomy to balance benefits and risks of these widely used medications.

Keywords:
AntidepressantsRCTsSSRIsanxiolyticdepression

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Area of Science:

  • Pediatric mental health
  • Pharmacovigilance
  • Evidence-based medicine

Background:

  • Limited data exists on antidepressant efficacy and safety in pediatric populations.
  • Discrepancies noted between academic and regulatory publications regarding antidepressant risks and benefits.
  • Antidepressants are increasingly prescribed to adolescent girls, highlighting the need for careful consideration.

Purpose of the Study:

  • To review challenges in data availability for pediatric antidepressant use.
  • To present a case for physician autonomy in prescribing antidepressants to children and adolescents.
  • To explore the balance between potential benefits and risks of these medications.

Main Methods:

  • Literature review of academic and regulatory publications on pediatric antidepressant use.
  • Analysis of data discrepancies and their impact on clinical practice.
  • Discussion of ethical considerations and professional autonomy for prescribers.

Main Results:

  • Significant data gaps exist regarding the use of antidepressants in children and adolescents.
  • Conflicting information from different sources complicates evidence-based prescribing.
  • Physicians face challenges in navigating data limitations while managing pediatric mental health.

Conclusions:

  • The available data on antidepressants for pediatric use is insufficient.
  • A greater degree of physician autonomy is advocated to manage the complexities of prescribing.
  • Balancing potential benefits against risks requires careful clinical judgment amid data scarcity.