ArticleFrontiers in psychiatry2013
Quest for biomarkers of treatment-resistant depression: shifting the paradigm toward risk.
Article in Frontiers in psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06073340 (Observational Longitudinal Study of Individuals With Stimulant Use Disorder), which is not on this map. Cited by 11 papers.
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.
Observational Longitudinal Study of Individuals With Stimulant Use Disorder: Research and Development of a Biosignature
Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Article
- Agomelatine: A Potential Multitarget Compound for Neurodevelopmental Disorders.Brain sciences · 2023Review
- The Impact ofInternational journal of molecular sciences · 2023Article
- In-silico EEG biomarkers of reduced inhibition in human cortical microcircuits in depression.PLoS computational biology · 2023Article
- Article
- The Effect of Chronic Mild Stress and Venlafaxine on the Expression and Methylation Levels of Genes Involved in the Tryptophan Catabolites Pathway in the Blood and Brain Structures of Rats.Journal of molecular neuroscience : MN · 2020Article
- Insulin-stimulated mTOR activation in peripheral blood mononuclear cells associated with early treatment response to lithium augmentation in rodent model of antidepressant-resistance.Translational psychiatry · 2019Article
- Growth Factor Proteins and Treatment-Resistant Depression: A Place on the Path to Precision.Frontiers in psychiatry · 2018Article
- Right patient, right treatment, right time: biosignatures and precision medicine in depression.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2016Article
- Increased Serum Levels of Oxytocin in 'Treatment Resistant Depression in Adolescents (TRDIA)' Group.PloS one · 2016Article
- Using biomarkers to predict treatment response in major depressive disorder: evidence from past and present studies.Dialogues in clinical neuroscience · 2014Review
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The search for potential biomarkers of psychiatric disorders is a central topic in biological psychiatry. This review concerns published studies on potential biomarkers of treatment-resistant depression (TRD). The search for biomarkers of TRD in the bloodstream has focused on cytokines and steroids as well as brain-derived neurotropic factor. Additional approaches to identifying biomarkers of TRD have dealt with cerebrospinal fluid analysis, magnetic resonance imaging, and positron emission tomography. Some studies have also investigated potential genetic and epigenetic factors in TRD. Most studies have, however, used a post hoc experimental design that failed to determine the association between biomarkers and the initial risk of TRD. Particular attention in future studies should be on shifting the experimental paradigm toward procedures that can determine the risk for developing treatment resistance in untreated depressed individuals.
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What 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.