Evidence map›Paper›PMID 40610644›Full record

ArticleNpj mental health research2025

Personalized game-based digital intervention for relieving depression and anxiety symptoms: a pilot RCT.

Xiaojun Shao, Lu Liu, Xiaotong Zhu, Chunsheng Tian, Dai Li, Liqun Zhang, Xiang Liu, Yanru Liu, Gang Zhu, Lingjiang Li

Registry-linked trialAbstract read
In one paragraph

Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06301555 (Game-Based Digital Intervention for Relieving Depression and Anxiety Symptoms), which is not on this 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.

NCT06301555 nacompletednot on this map

Game-Based Digital Intervention for Relieving Depression and Anxiety Symptoms

TypeinterventionalSponsorAdai Technology (Beijing) Co., Ltd.Ran2023 to 2024Enrolled223ConditionsDepression, AnxietyArmsReinforcement learning algorithm powered cognitive and behavioral intervention, cognitive and behavioral intervention
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

10 authors.

Xiaojun ShaoDepartment of Psychiatry, the First Affiliated Hospital of China Medical University, Shenyang, China.
Lu LiuDepartment of Psychiatry, the First Affiliated Hospital of China Medical University, Shenyang, China.
Xiaotong ZhuDepartment 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.
Dai LiAdai Technology Co. Ltd., Beijing, China.
Liqun ZhangAdai Technology Co. Ltd., Beijing, China.
Xiang LiuAdai Technology Co. Ltd., Beijing, China.
Yanru LiuAdai Technology Co. Ltd., Beijing, China.
Gang ZhuDepartment of Psychiatry, the First Affiliated Hospital of China Medical University, Shenyang, China. gzhu@cmu.edu.cn.
Lingjiang LiSecond Xiangya Hospital, Central South University, Changsha, China. llj2920@csu.edu.cn.

Funding

Liaoning Federation of Social Sciences 2024lslybhzkt-18
6 · The paper itself

Abstract

This study assessed the preliminary effectiveness of a game-based digital therapeutics (DTx) intervention for depression and anxiety using a randomized controlled trial (RCT) design to examine the role of reinforcement learning (RL) personalization. This RCT included 223 individuals with depressive symptoms, aged 18-50, divided into three groups: an RL Algorithm group (personalized treatment), an active control group (fixed treatment), and a no-intervention control group. The intervention combined cognitive bias modification and cognitive behavioral therapy, with outcomes measured by the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7. Results showed significantly higher treatment response and recovery rates in the RL Algorithm group compared to the no-intervention group. The game-based DTx intervention, enhanced by RL personalization, effectively reduced depression and anxiety symptoms, supporting its potential for mental health treatment. The study was registered at clinicaltrials.gov (NCT06301555).

Identifiers

PMID40610644
PMCPMC12229681

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.