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Clinical predictors of antipsychotic use in children and adolescents with autism spectrum disorders: a historical open cohort study using electronic health records

Overview of attention for article published in European Child & Adolescent Psychiatry, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

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224 Mendeley
Title
Clinical predictors of antipsychotic use in children and adolescents with autism spectrum disorders: a historical open cohort study using electronic health records
Published in
European Child & Adolescent Psychiatry, October 2015
DOI 10.1007/s00787-015-0780-7
Pubmed ID
Authors

Johnny Downs, Matthew Hotopf, Tamsin Ford, Emily Simonoff, Richard G. Jackson, Hitesh Shetty, Robert Stewart, Richard D. Hayes

Abstract

Children with autism spectrum disorders (ASD) are more likely to receive antipsychotics than any other psychopharmacological medication, yet the psychiatric disorders and symptoms associated with treatment are unclear. We aimed to determine the predictors of antipsychotic use in children with ASD receiving psychiatric care. The sample consisted of 3482 children aged 3-17 with an ICD-10 diagnosis of ASD referred to mental health services between 2008 and 2013. Antipsychotic use outcome, comorbid diagnoses, and other clinical covariates, including challenging behaviours were extracted from anonymised patient records. Of the 3482 children (79 % male) with ASD, 348 (10 %) received antipsychotic medication. The fully adjusted model indicated that comorbid diagnoses including hyperkinetic (OR 1.44, 95 %CI 1.01-2.06), psychotic (5.71, 3.3-10.6), depressive (2.36, 1.37-4.09), obsessive-compulsive (2.31, 1.16-4.61) and tic disorders (2.76, 1.09-6.95) were associated with antipsychotic use. In addition, clinician-rated levels of aggression, self-injurious behaviours, reduced adaptive function, and overall parental concern for their child's presenting symptoms were significant risk factors for later antipsychotic use. In ASD, a number of comorbid psychiatric disorders are independent predictors for antipsychotic treatment, even after adjustment for familial, socio-demographic and individual factors. As current trial evidence excludes children with comorbidity, more pragmatic randomised controlled trials with long-term drug monitoring are needed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Mexico 1 <1%
Sweden 1 <1%
Unknown 220 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 15%
Researcher 33 15%
Student > Ph. D. Student 28 13%
Student > Bachelor 21 9%
Student > Doctoral Student 19 8%
Other 34 15%
Unknown 55 25%
Readers by discipline Count As %
Psychology 59 26%
Medicine and Dentistry 38 17%
Nursing and Health Professions 15 7%
Social Sciences 13 6%
Computer Science 7 3%
Other 25 11%
Unknown 67 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 October 2015.
All research outputs
#14,452,294
of 25,654,806 outputs
Outputs from European Child & Adolescent Psychiatry
#1,125
of 1,842 outputs
Outputs of similar age
#131,005
of 291,665 outputs
Outputs of similar age from European Child & Adolescent Psychiatry
#15
of 21 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,842 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 291,665 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.