Evidence map›Paper›PMID 32754061›Full record

ArticleFrontiers in psychiatry2020

Research on the Development of Theme Trends and Changes of Knowledge Structures of Drug Therapy Studies on Major Depressive Disorder Since the 21

Li Duan, Yunfeng Gao, Xiaojun Shao, ChunSheng Tian, Chunfeng Fu, Gang Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. 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
1.7field-weighted citation impact, top 17% 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, 18 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 2 institutions in 1 country.

Li DuanDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Yunfeng GaoDepartment of Hand and Foot Surgery, The Affiliated Hospital of Chengde Medical University, Chengde, China.
Xiaojun ShaoDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
ChunSheng TianDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Chunfeng FuDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Gang ZhuDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
China Medical University · CNChengde Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntidepressant treatment is one of the most effective ways of relieving or curing depressive symptoms in patients with major depressive disorder (MDD). Although many studies have explored the efficacy, tolerability, adverse reactions, and functional mechanism of the disease, there has been no systematic evaluation of the relevant results in this field.

aimThis paper aims to analyze the theme trends and knowledge structure of drug therapy studies on MDD since the 21

methodsLiterature published in PubMed and related to drug therapy studies on MDD were retrieved between 2001 and 2018 in 6-year increments. After extracting major Medical Subject Headings (MeSH) terms/MeSH subheadings, bi-clustering analysis, social network analysis, and strategic diagrams were employed to complete bibliometric analysis.

resultsOverall, 1,577, 2,680, 2,848 relevant research articles were retrieved for the periods during 2001-2006, 2007-2012, and 2013-2018, respectively. In line with strategic diagrams, the main undeveloped and peripheral theme clusters during 2001-2006 were functional mechanisms of antidepressants in pathophysiology, neuroendocrinology and neural biochemistry. These themes were replaced during 2007-2012 by clinical efficacy and influencing factors of antidepressants with or without psychotherapy, mechanisms of adverse reactions of antidepressants, and predictive studies of clinical therapeutic effects of antidepressants based on brain imaging. During 2013-2018 application and evaluation of new antidepressant agents, early identification and prevention of suicide of patients with MDD, as well as genetic- or bio-markers affecting the response and efficacy of antidepressants were the primary themes. Based on social network analyses, emerging hotspots, such as antidepressive agents, second-generation/adverse effects, depressive disorder, major/metabolism, psychotherapy/methods, and brain/drug effects could be identified during 2007-2012 and 2013-2018.

conclusionsThese undeveloped theme clusters and emerging hotspots can be helpful for researchers to clarify the current status of their respective fields and future trends, and to generate novel ideas that may launch new research directions.

Indexed as

bibliometric analysisco-occurrence analysisdrug therapymajor depressive disordersocial network analysisstrategic diagram

Identifiers

PMID32754061
PMCPMC7367417
OpenAlexW3040760792

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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.