Evidence map›Paper›PMID 23336036›Full record

ArticleACS chemical neuroscience2013

Future directions for serotonin and antidepressants.

Francesc Artigas

Abstract read
In one paragraph

Article in ACS chemical neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. TheFrontiers in genetics · 2021
    Article
  4. Article
  5. Chronic Fluoxetine Impairs the Effects of 5-HTFrontiers in pharmacology · 2020
    Article
  6. Review
  7. Article
  8. Article
  9. Serotonin and brain function: a tale of two receptors.Journal of psychopharmacology (Oxford, England) · 2017
    Review
  10. Evaluation and Management of SCI-Associated Pain.Current pain and headache reports · 2016
    Review
  11. Article
  12. Article
  13. Article
  14. What's old is new.ACS chemical neuroscience · 2013
    Article
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

1 author.

Francesc ArtigasDepartment of Neurochemistry and Neuropharmacology, Institut d'Investigacions Biomèdiques de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain. fapnqi@iibb.csic.es

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the widespread use of antidepressant medications that block serotonin (5-hydroxytryptamine; 5-HT) and/or norepinephrine (NE) transporters, such as SSRIs (selective serotonin reuptake inhibitors) or SNRIs (serotonin and norepinephrine reuptake inhibitors), the underlying neurobiological basis of action of these agents is poorly understood. Increases in serotonergic function are hypothesized to have beneficial effects on depressive symptoms. However, which of the 14 different neuronal receptors sensitive to 5-HT accounts for the therapeutic effects of SSRIs and SNRIs remains undetermined. The development of drugs that activate or block specific 5-HT receptors may help to circumvent the two main limitations of current antidepressants: low efficacy and delayed onset of therapeutic action. What follows is a short summary of the author's views on this matter.

Indexed as

Adrenergic Uptake InhibitorsAntidepressive AgentsDrug DiscoveryExcitatory Amino Acid AgentsForecastingHumansMajor Depressive DisorderNeurotransmitter AgentsReceptors, SerotoninSelective Serotonin Reuptake InhibitorsSerotoninAdrenergic Uptake InhibitorsAntidepressive AgentsExcitatory Amino Acid AgentsNeurotransmitter AgentsReceptors, SerotoninSelective Serotonin Reuptake InhibitorsSerotonin

Identifiers

PMID23336036
PMCPMC3547492

What OpenQuestion holds

Textmetadata
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.