Evidence map›Paper›PMID 24991926›Full record

SynthesisPloS one2014

Does D-cycloserine enhance exposure therapy for anxiety disorders in humans? A meta-analysis.

Helga Rodrigues, Ivan Figueira, Alessandra Lopes, Raquel Gonçalves, Mauro Vitor Mendlowicz, Evandro Silva Freire Coutinho, Paula Ventura

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 6 pooled it
5.5field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 6 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Pooled it
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  7. Trial
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  9. Augmenting extinction learning with D-cycloserine reduces return of fear: a randomized, placebo-controlled fMRI study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Trial
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  11. The NMDA receptor partial agonist d-cycloserine does not enhance motor learning.Journal of psychopharmacology (Oxford, England) · 2016
    Trial
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  16. Article
  17. Article
  18. Review
  19. Enhancing Fear Extinction: Pharmacological Approaches.Current topics in behavioral neurosciences · 2023
    Article
  20. Understanding Human Fear Extinction: Insights from Psychophysiology.Current topics in behavioral neurosciences · 2023
    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

7 authors at 3 institutions in 1 country.

Helga RodriguesInstitute of Psychiatry, Universidade Federal do Rio de Janeiro (IPUB-UFRJ), Rio de Janeiro, Brazil.
Ivan FigueiraInstitute of Psychiatry, Universidade Federal do Rio de Janeiro (IPUB-UFRJ), Rio de Janeiro, Brazil.
Alessandra LopesInstitute of Psychiatry, Universidade Federal do Rio de Janeiro (IPUB-UFRJ), Rio de Janeiro, Brazil.
Raquel GonçalvesInstitute of Psychiatry, Universidade Federal do Rio de Janeiro (IPUB-UFRJ), Rio de Janeiro, Brazil.
Mauro Vitor MendlowiczDepartment of Psychiatry and Mental Health, Universidade Federal Fluminense (MSM-UFF), Niteroi, Brazil.
Evandro Silva Freire CoutinhoDepartment of Epidemiology, Escola Nacional de Saúde Pública (ENSP-FIOCRUZ) Rio de Janeiro, Brazil.
Paula VenturaInstitute of Psychology, Universidade Federal do Rio de Janeiro (IPUB-UFRJ), Rio de Janeiro, Brazil.
Universidade Federal do Rio de Janeiro · BRFundação Oswaldo Cruz · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of anxiety is on the edge of a new era of combinations of pharmacologic and psychosocial interventions. A new wave of translational research has focused on the use of pharmacological agents as psychotherapy adjuvants using neurobiological insights into the mechanism of the action of certain psychological treatments such as exposure therapy. Recently, d-cycloserine (DCS) an antibiotic used to treat tuberculosis has been applied to enhance exposure-based treatment for anxiety and has proved to be a promising, but as yet unproven intervention. The present study aimed to evaluate the efficacy of DCS in the enhancement of exposure therapy in anxiety disorders. A systematic review/meta-analysis was conducted. Electronic searches were conducted in the databases ISI-Web of Science, Pubmed and PsycINFO. We included only randomized, double-blind, placebo-controlled trials with humans, focusing on the role of DCS in enhancing the action of exposure therapy for anxiety disorders. We identified 328 references, 13 studies were included in our final sample: 4 on obsessive-compulsive disorder, 2 on panic disorder, 2 on social anxiety disorder, 2 on posttraumatic stress disorder, one on acrophobia, and 2 on snake phobia. The results of the present meta-analysis show that DCS enhances exposure therapy in the treatment of anxiety disorders (Cohen d =  -0.34; CI: -0.54 to -0.14), facilitating the specific process of extinction of fear. DCS seems to be effective when administered at a time close to the exposure therapy, at low doses and a limited number of times. DCS emerges as a potential new therapeutic approach for patients with refractory anxiety disorders that are unresponsive to the conventional treatments available. When administered correctly, DCS is a promising strategy for augmentation of CBT and could reduce health care costs, drop-out rates and bring faster relief to patients.

Indexed as

AntimetabolitesAnxiety DisordersCycloserineDouble-Blind MethodFemaleHumansMalePubMedRandomized Controlled Trials as TopicAntimetabolitesCycloserine

Identifiers

PMID24991926
PMCPMC4081005
OpenAlexW1980034853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.