Evidence map›Paper›PMID 37016788›Full record

Trial reportPsychological medicine2023

Efficacy of dynamic interpersonal therapy for major depressive disorder in China: results of a multicentered, three-arm, randomized, controlled trial.

Yuan Wang, Jiayu Yao, Diana Koszycki, Wenhui Jiang, Fang Fang, Minghong Wang, Jing Tao, Wenqing Zhao, Yilan Liu, Shanshan Su and 13 more

Open access · hybridAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

23 authors at 4 institutions in 2 countries.

Yuan WangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-9872-7109
Jiayu YaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Diana KoszyckiUniversity of Ottawa and Institut du Savoir Montfort, Ottawa, Ontario, Canada.
Wenhui JiangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fang FangShanghai Hongkou District Mental Health Center, Shanghai, China.
Minghong WangShanghai Changning District Mental Health Center, Shanghai, China.
Jing TaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenqing ZhaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yilan LiuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanshan SuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yihua PengShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hongyan WangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lanlan WangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rui GaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junjie GuShanghai Changning District Mental Health Center, Shanghai, China.
Jie ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanle BaiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanru WuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yousong SuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yating ZhaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ziwei ZhengShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuangyi ChenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianyin QiuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-8075-2215
Shanghai Jiao Tong University · CNShanghai Changning Mental Health Center · CNShanghai Mental Health Center · CNUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDynamic interpersonal therapy (DIT) is a brief, structured psychodynamic psychotherapy with demonstrated efficacy in treating major depressive disorder (MDD). The aim of the study was to determine whether DIT is an acceptable and efficacious treatment for MDD patients in China.

methodPatients were randomized to 16-week treatments with either DIT plus antidepressant medication (DIT + ADM;

resultsThe group × time interaction was significant for the primary outcome HAMD (

conclusionsAcute treatment with DIT or GST in combination with ADM was similarly efficacious in reducing depressive symptoms and yielded a better outcome than ADM alone. DIT may provide MDD patients with long-term benefits in symptom improvement but results must be viewed with caution.

Indexed as

Major Depressive DisorderPsychotherapy, PsychodynamicAntidepressive AgentsCombined Modality TherapyHumansTreatment OutcomeAntidepressive AgentsDynamic interpersonal therapymajor depressive disorderpsychotherapyrandomized controlled trial

Identifiers

PMID37016788
PMCPMC10719685
OpenAlexW4362602315

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.