Toward Precision Psychiatry in Bipolar Disorder: Staging 2.0
Open accessAbstract
Personalized treatment is defined as choosing the "right treatment for the right person at the right time." Although psychiatry has not yet reached this level of precision, we are on the way thanks to recent technological developments that may aid to detect plausible molecular and genetic markers. At the moment there are some models that are contributing to precision psychiatry through the concept of staging. While staging was initially presented as a way to categorize patients according to clinical presentation, course, and illness severity, current staging models integrate multiple levels of information that can help to define each patient's characteristics, severity, and prognosis in a more precise and individualized way. Moreover, staging might serve as the foundation to create a clinical decision-making algorithm on the basis of the patient's stage. In this review we will summarize the evolution of the bipolar disorder staging model in relation to the new discoveries on the neurobiology of bipolar disorder. Furthermore, we will discuss how the latest and future progress in psychiatry might transform current staging models into precision staging models.
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The clinical staging model for psychosis is the most established, but similar models also emerged for bipolar, depressive and anxiety disorders.
“The clinical staging model for psychosis is the most established 54,55 , but similar models also emerged for bipolar 56-59 , depressive 60,61 and anxiety 62-65 disorders.”
From Preventive psychiatry: a blueprint for improving the mental health of young people (2021) · cites this paper as [57]
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- Authors
- Salagre, E., Dodd, S., Aedo, A., Rosa, A., Amoretti, S., Pinzon, J., Reinares, M., Berk, M., Kapczinski, F. P., Vieta, E., & Grande, I.
- Affiliations
- Centro de Investigación Biomédica en Red de Salud Mental (ES)
- Barwon Health (AU)
- Pontificia Universidad Católica de Chile (CL)
- Universidade Federal do Rio Grande do Sul (BR)
- Corresponding author
- Vieta, Eduard
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2018-11-29
- Volume
- 9
- Pages
- 641-641
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC6282906
- OpenAlex
- W2902674140
- Cited by
- 106
- References
- 15
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 4 · 2023: 5 · 2022: 20 · 2021: 18 · 2020: 16 · 2019: 25 · 2018: 1
- FWCI
- 2.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Americanae (AECID Library) (submittedVersion, other-oa)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
- Funders
- Pfizer
- Sanofi
- Sunovion
- Ministerio de Economía y Competitividad
- Gedeon Richter
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (2015-9)
- Ministerio de Ciencia e Innovación
- Centro de Investigación Biomédica en Red de Salud Mental
- Servier
- H. Lundbeck A/S
- National Health and Medical Research Council (1059660)
- Instituto de Salud Carlos III
- European Regional Development Fund
- Cilag
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Keywords
- bipolar disorder, precision psychiatry, disease staging, personalized treatment, biomarkers, genetic markers, clinical algorithms, disease severity, prognosis, neurobiology of bipolar disorder
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