Evidence map›Paper›PMID 16156385›Full record

ReviewDialogues in clinical neuroscience2005

Neuroendocrine predictors of the evolution of depression.

Fabrice Duval, Marie-Claude Mokrani, José Antonio Monreal Ortiz, Pierre Schulz, Christiane Champeval, Jean-Paul Macher

Open access · diamondAbstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Fabrice DuvalInstitute for Research in Neuroscience and Neuropsychiatry, BP 29, 68250 Rouffach, France. fduval@forenap.asso.fr
Marie-Claude Mokrani
José Antonio Monreal Ortiz
Pierre Schulz
Christiane Champeval
Jean-Paul Macher
Centre hospitalier de Rouffach · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

BiomarkersNeurosecretory SystemsAntidepressive AgentsDepressionHumansHypothalamo-Hypophyseal SystemPituitary-Adrenal SystemPredictive Value of TestsThyroid GlandAntidepressive AgentsBiomarkers

Identifiers

PMID16156385
PMCPMC3181737
OpenAlexW1598359281

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.