Evidence map›Paper›PMID 29910682›Full record

SynthesisInternational journal of biological sciences2018

The prevalence of autism spectrum disorders in China: a comprehensive meta-analysis.

Fei Wang, Li Lu, Shi-Bin Wang, Ling Zhang, Chee H Ng, Gabor S Ungvari, Xiao-Lan Cao, Jian-Ping Lu, Cai-Lan Hou, Fu-Jun Jia and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 4 pooled it
7.4field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 4 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Pooled it
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  17. Autism in Taiwan and Thailand: Influences of Culture.Neuropsychiatric disease and treatment · 2024
    Review
  18. Article
  19. Review
  20. Prevalence of Autism Spectrum Disorder in Children in Andalusia (Spain).Journal of autism and developmental disorders · 2023
    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

11 authors at 6 institutions in 3 countries.

Fei WangUnit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR.
Li LuUnit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR.
Shi-Bin WangGuangdong Mental Health Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Ling ZhangThe National Clinical Research Center for Mental Disorders, China &Center of Depression, Beijing Institute for Brain Disorders & Mood Disorders Center, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Chee H NgDepartment of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia.
Gabor S UngvariThe University of Notre Dame Australia / Graylands Hospital, Perth, Australia.
Xiao-Lan CaoShenzhen Key Laboratory for Psychological Healthcare & Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital & Shenzhen Mental Health Center, Shenzhen, China.
Jian-Ping LuShenzhen Key Laboratory for Psychological Healthcare & Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital & Shenzhen Mental Health Center, Shenzhen, China.
Cai-Lan HouGuangdong Mental Health Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Fu-Jun JiaGuangdong Mental Health Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Yu-Tao XiangUnit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR.
Guangdong General Hospital · CNShenzhen KangNing Hospital · CNUniversity of Melbourne · AUCapital Medical University · CNGuangdong Academy of Medical Sciences · CNThe University of Notre Dame Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are conflicting prevalence estimates of autism spectrum disorders (ASDs) in mainland China (China thereafter). This study is a comprehensive meta-analysis of the pooled prevalence of ASDs in the general population in China. Study investigators independently conducted a systematic literature search of the following databases: PubMed, EMBASE, PsycINFO, China National Knowledge Infrastructure, Chinese biomedical literature service system, and Wan Fang. Studies reporting prevalence of ASDs and autism in Chinese population were identified and analysed using the Comprehensive Meta-Analysis program with the random effects model. Forty-four studies were included in the meta-analysis comprising 2,337,321 subjects of whom 46.66 % were females. The mean age of subjects ranged from 1.6 to 8 years. Based on diagnostic criteria the pooled prevalence of ASDs was 39.23 per 10,000 (95% CI: 28.44-50.03 per 10,000, I

Indexed as

Autism Spectrum DisorderChinaHumansPrevalenceAutism spectrum disorderChinameta-analysisprevalence

Identifiers

PMID29910682
PMCPMC6001678
OpenAlexW2805634078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.