ReviewDialogues in clinical neuroscience2005
Neuroendocrine predictors of the evolution of depression.
Review in Dialogues in clinical neuroscience, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- Causal Association Between Antidepressant Use and Thyroid Disease Risk: A Two-Sample Mendelian Randomization Study.Actas espanolas de psiquiatria · 2026Article
- Arginine vasopressin in mood disorders: A potential biomarker of disease pathology and a target for pharmacologic intervention.Psychiatry and clinical neurosciences · 2024Review
- Cortisol and the Dexamethasone Suppression Test as a Biomarker for Melancholic Depression: A Narrative Review.Journal of personalized medicine · 2023Review
- Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach.Journal of medical Internet research · 2023Article
- Molecular Pathways of the Therapeutic Effects of Ayahuasca, a Botanical Psychedelic and Potential Rapid-Acting Antidepressant.Biomolecules · 2022Review
- Comparison of Thyroid Hormone Levels Between Patients With Major Depressive Disorder and Healthy Individuals in China.Frontiers in psychiatry · 2021Article
- The Very Low-Dose Dexamethasone Suppression Test in the General Population: A Cross-Sectional Study.PloS one · 2016Article
- Surrogate outcomes in neurology, psychiatry, and psychopharmacology.Dialogues in clinical neuroscience · 2006Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression is both clinically and biologically a heterogeneous entity. Despite advances in psychopharmacology, a significant proportion of depressed patients either continue to have residual symptoms or do not respond to antidepressants. It has therefore become essential to determine parameters (or predictors) that would rationalize the therapeutic choice, taking into account not only the clinical features, but also the "biological state," which is a major determinant in the antidepressant response. Such predictors can derive from bioclinical correlates and, in this context, the neuroendocrine strategy appears particularly suited. Numerous studies have investigated neuroendocrine parameters--derived mainly from dynamic challenge tests--in order to (i) determine the predictive profiles of good clinical responders to given antidepressants; (ii) monitor the progression of markers in parallel with the clinical outcome; and (iii) evaluate "in vivo" in humans the mechanisms of action of antidepressant compounds (before, during, and after treatment). This article does not attempt to be exhaustive, but rather uses selected examples to illustrate the usefulness of the investigation of the adrenal and thyroid axes and the assessment of central serotonergic, noradrenergic, and dopaminergic systems by means of neuroendocrine tests. Given methodological constraints, most of these investigations--except for baseline hormone values and the dexamethasone suppression test--cannot be used routinely in psychiatry. Despite these limitations, the neuroendocrine strategy still offers new insights in biology and the treatment of depression. Its possible expansion depends mainly on the development of specific agonists or antagonists for better investigation of the receptors supposedly involved in the pathophysiology of depression. These investigations will help define more homogeneous subgroups from a bioclinical and therapeutic viewpoint.
Indexed as
Identifiers
16156385PMC3181737W1598359281What 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.