Evidence map›Paper›PMID 37168090›Full record

ArticleFrontiers in psychiatry2023

Chinese version of

Viviane Kovess-Masfety, Guoli Yan, Huifang Yin, Ling Sun, Xiaofei Hou, Minghui Li, Peiyao Li, Xuyang Su, Michael R Phillips, Guangming Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. 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
1.9field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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 at 4 institutions in 3 countries.

Viviane Kovess-MasfetyTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Guoli YanTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Huifang YinTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Ling SunTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Xiaofei HouTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Minghui LiTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Peiyao LiTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Xuyang SuTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Michael R PhillipsSuicide Research and Prevention Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guangming XuTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Tianjin Anding Hospital · CNTianjin Medical University · CNColumbia University · USUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Assess the validity of the Chinese version of the Methods: (1) Compare DI-generated "probable" or "possible" diagnoses to diagnoses based on the Development and Well-Being Assessment (DAWBA) instrument in 113 psychiatric outpatients and 20 community controls. (2) Administer DI to 1,479 children from elementary schools in Tianjin. Results: In the validation sample, DI with DAWBA concordance was much greater for internalized disorders (mean Kappa = 0.56) than for externalized disorders (mean kappa = 0.11). The positive predictive value of DI diagnoses ranged from 0.96 (generalized anxiety disorder) to 25% (oppositional defiant disorder) and negative from 0.81 to 0.96. Using "probable" cuts provides better results. In the survey, prevalence of probable DI disorders ranged from 1.0% (conduct disorder) to 13.1% (phobias). Internal consistency of all DI items was excellent (Cronbach alpha = 0.93) and that of the seven subscales ranged from 0.64 (phobias) to 0.87 (major depressive disorder). In multilevel SEM analyses, SRMR (Standardized root mean square residual) or each of the seven diagnoses was below 0.08 and each coefficient of determination was below 0.60. Conclusion: The Chinese DI is a convenient method of screening common mental disorders in Chinese children mainly for internalized disorders, which are the most prevalent diagnoses in that population. However its high negative predictive values for externalized could be used for screening.

Indexed as

childrenChinapsychiatric diagnosesscreeningsurveytestvideo game

Identifiers

PMID37168090
PMCPMC10165077
OpenAlexW4366828085

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.