ReviewDialogues in clinical neuroscience2014
Prediction of treatment outcomes in psychiatry--where do we stand ?
Review in Dialogues in clinical neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses 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
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pharmacogenomic scores in psychiatry: systematic review of current evidence.Translational psychiatry · 2024Pooled it
- Transdiagnostic psychosocial interventions to promote mental health in forcibly displaced persons: a systematic review and meta-analysis.European journal of psychotraumatology · 2023Pooled it
- Application of Near-Infrared Spectroscopy in Early Detection of Antidepressant Treatment Efficacy in Major Depressive Disorder: A Longitudinal Study.Actas espanolas de psiquiatria · 2025Article
- From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care.Biomedicines · 2025Review
- Effects of sodium nitroprusside on the default mode network of patients with schizophrenia and healthy controls.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Article
- Predicting anxiety treatment outcome in community mental health services using linked health administrative data.Scientific reports · 2024Article
- Neuromarkers in addiction: definitions, development strategies, and recent advances.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Predicting Undesired Treatment Outcomes With Machine Learning in Mental Health Care: Multisite Study.JMIR medical informatics · 2023Article
- Associations of psychiatric disease and ageing with FKBP5 expression converge on superficial layer neurons of the neocortex.Acta neuropathologica · 2023Article
- The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation.BMC psychiatry · 2023Article
- Resting-state electroencephalography theta predicts neurofeedback treatment 4-month follow-up response in nicotine addiction.General psychiatry · 2023Article
- Neurite Orientation Dispersion and Density Imaging in Psychiatric Disorders: A Systematic Literature Review and a Technical Note.Biological psychiatry global open science · 2023Review
- Review
- A follow-up study on treatment effects of cognitive-behavioral therapy on social anxiety disorder: Impact of COVID-19 fear during post-lockdown period.Psychiatry research · 2022Article
- Schizophrenia Detection Using Machine Learning Approach from Social Media Content.Sensors (Basel, Switzerland) · 2021Article
- Article
- A learning algorithm for predicting mental health symptoms and substance use.Journal of psychiatric research · 2021Article
- Modelling and forecasting Positive and Negative Syndrome Scale scores to achieve remission using time series analysis.International journal of methods in psychiatric research · 2019Article
- Rate of and time to symptomatic remission in first-episode psychosis in Northern Malawi: A STROBE-compliant article.Medicine · 2018Article
- Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis.NeuroImage. Clinical · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Psychiatric treatment relies on a solid armamentarium of pharmacologic and nonpharmacologic treatment modalities that perform reasonably well for many patients but leave others in a state of chronic disability or troubled by problematic side effects. Treatment planning in psychiatry remains an art that depends on considerable trial and error. Thus, there is an urgent need for better tools that will provide a means for matching individual patients with the most effective treatments while minimizing the risk of adverse events. This review will consider the current state of the science in predicting treatment outcomes in psychiatry. Genetic and other biomarkers will be considered alongside clinical diagnostic, and family history data. Problems inherent in prediction medicine will also be discussed, along with recent developments that support the hope that psychiatry can do a better job in quickly identifying the best treatments for each patient.
Indexed as
Identifiers
25733951PMC4336916What OpenQuestion holds
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.