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Cost-effectiveness of Genome and Exome Sequencing in Children Diagnosed with Autism Spectrum Disorder

Overview of attention for article published in Applied Health Economics and Health Policy, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 blog
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64 Mendeley
Title
Cost-effectiveness of Genome and Exome Sequencing in Children Diagnosed with Autism Spectrum Disorder
Published in
Applied Health Economics and Health Policy, April 2018
DOI 10.1007/s40258-018-0390-x
Pubmed ID
Authors

Tracy Yuen, Melissa T. Carter, Peter Szatmari, Wendy J. Ungar

Abstract

Genome (GS) and exome sequencing (ES) could potentially identify pathogenic variants with greater sensitivity than chromosomal microarray (CMA) in autism spectrum disorder (ASD) but are costlier and result interpretation can be uncertain. Study objective was to compare the costs and outcomes of four genetic testing strategies in children with ASD. A microsimulation model estimated the outcomes and costs (in societal and public payer perspectives in Ontario, Canada) of four genetic testing strategies: CMA for all, CMA for all followed by ES for those with negative CMA and syndromic features (CMA+ES), ES or GS for all. Compared to CMA, the incremental cost-effectiveness ratio (ICER) per additional child identified with rare pathogenic variants within 18 months of ASD diagnosis was $CAN5997.8 for CMA+ES, $CAN13,504.2 for ES and $CAN10,784.5 for GS in the societal perspective. ICERs were sensitive to changes in ES or GS diagnostic yields, wait times for test results or pre-test genetic counselling, but were robust to changes in the ES or GS costs. Strategic integration of ES into ASD care could be a cost-effective strategy. Long wait times for genetic services and uncertain utility, both clinical and personal, of sequencing results could limit broader clinical implementation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 17%
Researcher 10 16%
Student > Bachelor 7 11%
Student > Postgraduate 4 6%
Student > Ph. D. Student 3 5%
Other 4 6%
Unknown 25 39%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Biochemistry, Genetics and Molecular Biology 7 11%
Psychology 5 8%
Economics, Econometrics and Finance 4 6%
Nursing and Health Professions 4 6%
Other 7 11%
Unknown 26 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 November 2020.
All research outputs
#3,600,167
of 23,041,514 outputs
Outputs from Applied Health Economics and Health Policy
#156
of 785 outputs
Outputs of similar age
#71,549
of 329,221 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#3
of 19 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 785 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 80% of its peers.
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 329,221 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.