Evidence map›Paper›PMID 28241064›Full record

SynthesisPloS one2017

Meta-analyses of comparative efficacy of antidepressant medications on peripheral BDNF concentration in patients with depression.

Chanjuan Zhou, Jiaju Zhong, Bin Zou, Liang Fang, Jianjun Chen, Xiao Deng, Lin Zhang, Xiang Zhao, Zehui Qu, Yang Lei and 1 more

Open access · goldAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 9 pooled it
9.0field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 9 syntheses or guidelines pooled it, 188 citations in OpenAlex.

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37 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 2 countries.

Chanjuan ZhouDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China.
Jiaju ZhongDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China.
Bin ZouCollege of Computer and Information Science, Southwest University, Chongqing, China.
Liang FangDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China.
Jianjun ChenInstitute of Life Sciences, Chongqing Medical University, Chongqing, China.
Xiao DengChildren's Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Lin ZhangCollege of Computer and Information Science, Southwest University, Chongqing, China.
Xiang ZhaoCollege of Computer and Information Science, Southwest University, Chongqing, China.
Zehui QuCollege of Computer and Information Science, Southwest University, Chongqing, China.
Yang LeiDepartment of neurology, University-town hospital of Chongqing Medical University, Chongqing, China.
Ting LeiDepartment of Physics, University of Fribourg, Fribourg, Switzerland.
Chongqing Medical University · CNSouthwest University · CNUniversity of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain derived neurotrophic factor (BDNF) is one of the most important regulatory proteins in the pathophysiology of major depressive disorder (MDD). Increasing numbers of studies have reported the relationship between serum/plasma BDNF and antidepressants (ADs). However, the potential effects of several classes of antidepressants on BDNF concentrations are not well known. Hence, our meta-analyses aims to review the effects of differential antidepressant drugs on peripheral BDNF levels in MDD and make some recommendations for future research.

methodsElectronic databases including PubMed, EMBASE, the Cochrane Library, Web of Science, and PsycINFO were searched from 1980 to June 2016. The change in BDNF levels were compared between baseline and post-antidepressants treatment by use of the standardized mean difference (SMD) with 95% confidence intervals (CIs). All statistical tests were two-sided.

resultsWe identified 20 eligible trials of antidepressants treatments for BDNF in MDD. The overall effect size for all drug classes showed that BDNF levels were elevated following a course of antidepressants use. For between-study heterogeneity by stratification analyses, we detect that length of treatment and blood samples are significant effect modifiers for BDNF levels during antidepressants treatment. While both SSRIs and SNRIs could increase the BDNF levels after a period of antidepressant medication treatment, sertraline was superior to other three drugs (venlafaxine, paroxetine or escitalopram) in the early increase of BDNF concentrations with SMD 0.53(95% CI = 0.13-0.93; P = 0.009).

conclusionsThere is some evidence that treatment of antidepressants appears to be effective in the increase of peripheral BDNF levels. More robust evidence indicates that different types of antidepressants appear to induce differential effects on the BDNF levels. Since sertraline makes a particular effect on BDNF concentration within a short amount of time, there is potential value in exploring its relationship with BDNF and its pharmacological mechanism concerning peripheral blood BDNF. Further confirmatory trials are required for both observations.

Indexed as

Antidepressive AgentsBrain-Derived Neurotrophic FactorCitalopramClinical Trials as TopicData Interpretation, StatisticalDepressionHumansParoxetineReproducibility of ResultsSensitivity and SpecificitySertralineVenlafaxine HydrochlorideAntidepressive AgentsBDNF protein, humanBrain-Derived Neurotrophic FactorCitalopramParoxetineSertralineVenlafaxine Hydrochloride

Identifiers

PMID28241064
PMCPMC5328267
OpenAlexW2593976960

What Socratic 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 Socratic graph.