ArticleWorld psychiatry : official journal of the World Psychiatric Association (WPA)2016
Abandoning personalization to get to precision in the pharmacotherapy of depression.
Article in World psychiatry : official journal of the World Psychiatric Association (WPA), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
43 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Comprehensive Characterization of Antidepressant Pharmacogenetics: A Systematic Review of Studies in Major Depressive Disorder.Clinical and translational science · 2025Pooled it
- Transcriptomic Studies of Antidepressant Action in Rodent Models of Depression: A First Meta-Analysis.International journal of molecular sciences · 2022Pooled it
- An integrated meta-analysis of peripheral blood metabolites and biological functions in major depressive disorder.Molecular psychiatry · 2021Pooled it
- Meta-analysis of probability estimates of worldwide variation of CYP2D6 and CYP2C19.Translational psychiatry · 2021Pooled it
- Towards causal inference-based antidepressant selection with brain and blood biomarkers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Trial
- The implementation and adherence to evidence-based protocols for psychotherapy for depression: the perspective of therapists in Dutch specialized mental healthcare.BMC psychiatry · 2018Trial
- Transcriptional profiles of antidepressant resistance across the corticolimbic pathway of chronically stressed mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Article
- Nose-to-Brain Delivery of Chlorella vulgaris Extracellular Vesicles for Antidepressant Effects.Journal of extracellular vesicles · 2025Article
- Unveiling the neuroprotective potential of Jatropha humboldtiana leaves and its metabolic profiling by UPLC-MS/MS.Inflammopharmacology · 2025Article
- Article
- Which symptom to address in psychological treatment for cancer survivors when fear of cancer recurrence, depressive symptoms, and cancer-related fatigue co-occur? Exploring the level of agreement between three systematic approaches to select the focus of treatment.Journal of cancer survivorship : research and practice · 2024Article
- The longitudinal patterns of depression subtypes and stressors in depression severity in the Canadian longitudinal study on aging (CLSA).Psychiatry and clinical neurosciences · 2024Article
- [Personalized psychotherapy of posttraumatic stress disorder : Overview on the selection of treatment methods and techniques using statistical procedures].Der Nervenarzt · 2023Article
- Pharmacogenetic Guidelines for Psychotropic Drugs: Optimizing Prescriptions in Clinical Practice.Pharmaceutics · 2023Review
- The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation.BMC psychiatry · 2023Article
- Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records.Psychiatric research and clinical practice · 2023Article
- Personalization of Treatment for Patients with Childhood-Abuse-Related Posttraumatic Stress Disorder.Journal of clinical medicine · 2021Article
- How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection.Translational psychiatry · 2021Article
- Reading, Conducting, and Developing Systematic Review and Individual Patient Data Meta-Analyses in Psychiatry for Treatment Issues.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effectiveness studies and analyses of naturalistic cohorts demonstrate that many patients with major depressive disorder do not experience symptomatic remission with antidepressant treatments. In an effort to better match patients with effective treatments, numerous investigations of predictors or moderators of treatment response have been reported over the past five decades, including clinical features as well as biological measures. However, none of these have entered routine clinical practice; instead, clinicians typically personalize treatment on the basis of patient preferences as well as their own. Here, we review the reasons why it has been challenging to identify and deploy treatment-specific predictors of response, and suggest strategies that may be required to achieve true precision in the pharmacotherapy of depression. We emphasize the need for changes in how depression care is delivered, measured, and used to inform future practice.
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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.