Evidence map›Paper›PMID 29925497›Full record

ArticleJMIR mHealth and uHealth2018

A Newly Designed Mobile-Based Computerized Cognitive Addiction Therapy App for the Improvement of Cognition Impairments and Risk Decision Making in Methamphetamine Use Disorder: Randomized Controlled Trial.

Youwei Zhu, Haifeng Jiang, Hang Su, Na Zhong, Runji Li, Xiaotong Li, Tianzhen Chen, Haoye Tan, Jiang Du, Ding Xu and 3 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
5.2field-weighted citation impact, top 4% 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.

NCT03318081 nacompletednot on this map

The Application of Cognitive Rehabilitation Therapy for Amphetamine-type Stimulants Addiction

TypeinterventionalSponsorShanghai Mental Health CenterRan2017 to 2018Enrolled40ConditionsAmphetamine AddictionArmscognitive function rehabilitation and bias modification
NCT05879198 nacompletednot on this mapstarted 2023, after this paper: background citation

Train Your Brain: A Pilot Project to Improve Memory and Decision Making to Improve Outcomes Among Youth

TypeinterventionalSponsorHenry Ford Health SystemRan2023 to 2023Enrolled23ConditionsBehavior, HealthArmsComputer-based Intervention
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Psychosocial interventions for stimulant use disorder.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Digital Help for Substance Users (SU): A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
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  17. Application of Digital Medicine in Addiction.Journal of Shanghai Jiaotong University (science) · 2022
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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

13 authors at 2 institutions in 1 country.

Youwei Zhu *Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-7891-3297
Haifeng Jiang *Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-8499-2825
Hang SuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-5730-2259
Na ZhongShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-4656-2936
Runji LiShanghai South West Weiyu Middle School, Shanghai, China.ORCID http://orcid.org/0000-0003-4533-0970
Xiaotong LiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-8213-9126
Tianzhen ChenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-6105-8749
Haoye TanShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-9689-0583
Jiang DuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-4014-1070
Ding XuShanghai Bureau of Drug Rehabilitation Administration, Shanghai, China.ORCID http://orcid.org/0000-0002-5844-9869
Huan YanShanghai Qingdong Compulsory Drug Dependence Rehablitation Center, Shanghai, China.ORCID http://orcid.org/0000-0002-0674-9560
Dawen XuShanghai Qingdong Compulsory Drug Dependence Rehablitation Center, Shanghai, China.ORCID http://orcid.org/0000-0003-4858-6269
Min ZhaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-4551-043X
Shanghai Jiao Tong University · CNShanghai Drug Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive rehabilitation therapy has been found to improve cognitive deficits and impulse control problems in methamphetamine use disorder (MUD). However, there is limited research regarding this therapy's feasibility when using mobile-based health technologies in supporting recovery from MUD in China.

objectiveThe main aim of this study was to test whether 4 weeks of a newly designed computerized cognitive addiction therapy (CCAT) app can improve cognitive impairments, eliminate drug-related attention bias, and attenuate risk decision-making behaviors in participants with MUD.

methodsForty MUD participants were assigned randomly to either the CCAT group (n=20), who received 4 weeks of CCAT plus regular detoxification treatment as usual, or the control group (n=20), who only received the regular detoxification treatment as usual, in drug rehabilitation centers in Shanghai. The CCAT was designed by combine methamphetamine use-related picture stimuli with cognitive training with the aim of improving cognitive function and eliminating drug-related attention bias. The CogState Battery, Delay Discounting Task (DDT), Iowa Gambling Task (IGT), and Balloon Analog Risk Task (BART) were administered face-to-face to all participants before and after CCAT interventions.

resultsForty male patients were recruited. The mean age was 32.70 (SD 5.27) years in the CCAT group and mean 35.05 (SD 8.02) years in the control group. Compared to the control group, CCAT improved working memory in the CCAT group (P=.01). Group×time interactions were observed among DDT, IGT, and BART tasks, with rates of discounting delayed rewards, IGT, and BART scores (P<.001) being reduced among those who received CCAT, whereas no changes were found in the control group.

conclusionsThe newly designed CCAT can help to improve cognitive impairment and impulsive control in MUD. Further study is needed to understand the underlying brain mechanisms of the cognitive therapy.

trial registrationClinicalTrials.gov NCT03318081; https://clinicaltrials.gov/ct2/show/NCT03318081 (Archived by WebCite at https://clinicaltrials.gov/ct2/show/NCT03318081).

Indexed as

attention biascognitive functionimpulse controlmethamphetaminemethamphetamine use disorderrisk decision making

Identifiers

PMID29925497
PMCPMC6031898
OpenAlexW2807063776

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.