Evidence map›Paper›PMID 31977844›Full record

ArticleMedicine2020

Psychological effects of cognitive behavioral therapy on internet addiction in adolescents: A systematic review protocol.

Ying-Ying Zhang, Jian-Ji Chen, Hai Ye, Lupe Volantin

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.6field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

4 authors at 3 institutions in 2 countries.

Ying-Ying ZhangSchool of Teacher Education, Taizhou University, Linhai, Zhejiang.
Jian-Ji ChenSchool of Teacher Education, Taizhou University, Linhai, Zhejiang.
Hai YeCollege of Music and Dance, Yichun University, Yichun, Jiangxi, China.
Lupe VolantinSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Taizhou University · CNUniversity of Bristol · GBYichun University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we aim to assess the psychological effects of cognitive behavioral therapy (CBT) on internet addiction (IA) in adolescents.

methodsThis study will search the following databases of Cochrane Library, PUBMED, EMBASE, Scopus, Web of Science, PsycINFO, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure. All these electronic databases will be searched from inception to the September 30, 2019 without any language limitation. Two authors will conduct study selection, data extraction, and study quality assessment, respectively. Any disagreements between 2 authors will be solved by a third author through discussion. Statistical analysis will be performed using RevMan 5.3 software.

resultsThis study will investigate the psychological effects of CBT on IA in adolescents by measuring psychopathological symptoms, depression, anxiety, time spent on the internet (hours/day), and health-related quality of life.

conclusionThis study summarizes current evidence of CBT on IA in adolescents and may provide guidance for both intervention and future researches.PROSPERO registration number: PROSPERO CRD42019153290.

Indexed as

Behavior, AddictiveCognitive Behavioral TherapyInternetAdolescentHumansRandomized Controlled Trials as TopicResearch Design

Identifiers

PMID31977844
PMCPMC7004767
OpenAlexW3002040603

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.