From classification to personalization: Towards an evidence-based integrative clinical model in the diagnosis and treatment of mood disorders

Systematic review and meta-analysis according to PRISMA 2020

Authors

  • ABDOUN LARBI UNIVERSITY OF BECHAR – TAHRI MOHAMED, Algeria
  • ZITOUNI MOHAMMED ZOHEIR UNIVERSITY OF BECHAR – TAHRI MOHAMED, Algeria
  • MERZOUKI KARIMA UNIVERSITY OF BECHAR – TAHRI MOHAMED, Algeria
  • CHERFAOUI HADJ ABBOU UNIVERSITY OF BECHAR – TAHRI MOHAMED, Algeria
  • BENALI ABDELGHANI UNIVERSITY OF BECHAR – TAHRI MOHAMED, Algeria

Abstract

Diagnostic classifications (DSM / ICD) play a central role in clinical practice mapping and are essential for standardizing clinical language; however, they face epistemological and practical limitations when dealing with overlapping and heterogeneous disorders. Mood disorders represent a clinically diverse and highly heterogeneous spectrum, with overlapping categories that reduce diagnostic precision as well as predictive validity regarding course, treatment response, and relapse risk. Hence, there is a growing need to shift toward Personalized (Precision) Psychiatry, which aims to integrate clinical, psychological, social (and sometimes biological) dimensions into both diagnostic and therapeutic decision-making. (Comai et al., 2025)

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Published

2026-05-17

Issue

2026: Vol. XXVI

Section

Articles