Evidence map›Paper›PMID 40750656›Full record

ArticleNPJ digital medicine2025

A scalable mental health intervention for depressive symptoms: evidence from a randomized controlled trial and large-scale real-world studies.

Jianjie Xu, Zhuo Rachel Han, Xiangxi Lv, Lu Chen, Ningning Mao, Mengyu Miranda Gao, Hanyi Zhang, Yueqin Hu, Shaozheng Qin, James J Gross and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Jianjie XuBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.
Zhuo Rachel HanBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China. rachhan@bnu.edu.cn.
Xiangxi LvBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.
Lu ChenBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.
Ningning MaoBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.
Mengyu Miranda GaoFaculty of Psychology, Beijing Normal University, Beijing, China.
Hanyi ZhangBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.
Yueqin HuFaculty of Psychology, Beijing Normal University, Beijing, China.
Shaozheng QinIDG/McGovern Institute for Brain Research & State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
James J GrossDepartment of Psychology, Stanford University, Stanford, CA, USA.
Zhanjun ZhangIDG/McGovern Institute for Brain Research & State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. zhang_rzs@bnu.edu.cn.

Funding

National Natural Science Foundation of China 32130045
6 · The paper itself

Abstract

Depressive symptoms pose a serious global threat to well-being, highlighting the need for scalable mental health interventions. E-mental health interventions offer promising population-level solutions, yet few are grounded in theory or tested on large samples. This study utilizes an innovative e-mental health intervention based on the Extended Process Model of Emotion Regulation and examines the effectiveness of this theory-based intervention across a randomized controlled trial (RCT, N = 187; Chinese Clinical Trial Registry: ChiCTR2400081964; registration date: March 18th, 2024) and two extensive real-world studies (N

Identifiers

PMID40750656
PMCPMC12317073

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.