Evidence map›Paper›PMID 31568011›Full record

ArticleMedicine2019

Does cognitive-behavioral therapy reduce internet addiction? Protocol for a systematic review and meta-analysis.

Junhua Zhang, Yu Zhang, Fang Xu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Perceptions Underlying Addictive Technology Use Patterns: Insights for Cognitive-Behavioural Therapy.International journal of environmental research and public health · 2022
    Article
  8. 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

3 authors at 2 institutions in 1 country.

Junhua ZhangSchool of Education, Jiangsu Key Constructive Laboratory for Big Data of Psychology and Cognitive Science, Yancheng Teachers University, Yancheng.
Yu ZhangSchool of Education, Jiangsu Key Constructive Laboratory for Big Data of Psychology and Cognitive Science, Yancheng Teachers University, Yancheng.
Fang XuSchool of Education, Jiangsu Key Constructive Laboratory for Big Data of Psychology and Cognitive Science, Yancheng Teachers University, Yancheng.
Yancheng Teachers University · CNNanjing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive-behavioral therapy has been considered as a means for internet addiction, but its long-term effect and the impact of internet addiction types and culture are still unclear.

objectiveThis study aims to assess the efficacy of cognitive-behavior therapy for internet addiction symptoms and associated other psychopathological symptoms. METHOD AND ANALYSIS: We will search PubMed, Web of Knowledge, Ovid Medline, Chongqing Vip Database, Wanfang, and China National Knowledge Infrastructure database. Random-effects model in comprehensive meta-analysis software will be used to conduct main meta-analysis. Cochran Q and I are be used to assess heterogeneity while funnel plots and the Egger test are used to assess publication bias. Risk of bias for each study included is assessed by using the Cochrane risk of bias tool. The primary outcome is internet addiction symptom while secondary outcomes are psychopathological symptoms, time spent online, and dropout. TRIALS REGISTRATION NUMBER: PROSPERO CRD42019125667.

Indexed as

Cognitive Behavioral TherapyBehavior, AddictiveHumansInternetMeta-Analysis as TopicSystematic Reviews as Topic

Identifiers

PMID31568011
PMCPMC6756623
OpenAlexW2978837009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.