ArticleNeuropsychiatric disease and treatment2021
From Personalized Medicine to Precision Psychiatry?
Article in Neuropsychiatric disease and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain-Derived Neurotrophic Factor (BDNF) as a Predictor of Treatment Response in Schizophrenia and Bipolar Disorder: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Value drivers and barriers to the adoption of Precision Psychiatry in Latin America: a qualitative study.BMC psychiatry · 2026Article
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 2026Article
- Personalized Medicine in Psychiatry: From Promise to Practice.Journal of personalized medicine · 2026Article
- Exosomes as Emerging Therapeutic Platforms in Neurological and Psychiatric Disorders.Pharmaceutical medicine · 2025Review
- The Inflammatory Nexus: Unraveling Shared Pathways and Promising Treatments in Alzheimer's Disease and Schizophrenia.International journal of molecular sciences · 2025Review
- Digital Cognitive Behavioral Therapy for Panic Disorder and Agoraphobia: A Meta-Analytic Review of Clinical Components to Maximize Efficacy.Journal of clinical medicine · 2025Review
- Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025Review
- Mental Health and Well-Being in the Modern Era: A Comprehensive Review of Challenges and Interventions.Cureus · 2025Review
- An Evaluation of a Women's Clinic: The Healthcare and Learning Project of the Functional Unit for Women with Schizophrenia.Healthcare (Basel, Switzerland) · 2024Review
- Advocating for the inclusion of therapeutic drug monitoring in the national essential diagnostic list: Perspectives from psychiatrists.Indian journal of psychiatry · 2024Article
- The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review.Cureus · 2024Review
- Precision Medicine in Depression: The Role of Proteomics and Metabolomics in Personalized Treatment Approaches.Advances in experimental medicine and biology · 2024Review
- CBF Profile in Computed Tomography Perfusion-Based AutoMIStar Software Predicts Futile Recanalization After Basilar Artery Thrombectomy.Neuropsychiatric disease and treatment · 2024Article
- Mitochondria and Brain Disease: A Comprehensive Review of Pathological Mechanisms and Therapeutic Opportunities.Biomedicines · 2023Review
- Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personalised medicine aims to find an individualized approach for each particular patient. Most factors used in current psychiatry, however, depend on the assessment made by the individual clinician and lack a higher degree of reliability. Precision medicine bases decisions on quantifiable indicators available thanks to the tremendous progress in science and technology facilitating the acquisition, processing and analysis of huge amounts of data. So far, psychiatry has not been benefiting enough from the advanced diagnostic technologies; nevertheless, we are witnessing the dawn of the era of precision psychiatry, starting with the gathering of sufficient amounts of data and its analysis by the means of artificial intelligence and machine learning. First results of this approach in psychiatry are available, which facilitate diagnosis assessment, course prediction, and appropriate treatment choice. These processes are often so complex and difficult to understand that they may resemble a "black box", which can slow down the acceptance of the results of this approach in clinical practice. Still, bringing precision medicine including psychiatry to standard clinical practice is a big challenge that can result in a completely new and transformative concept of health care. Such extensive changes naturally have both their supporters and opponents. This paper aims to familiarize clinically oriented physicians with precision psychiatry and to attract their attention to its recent developments. We cover the theoretical basis of precision medicine, its specifics in psychiatry, and provide examples of its use in the field of diagnostic assessment, course prediction, and appropriate treatment planning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.