Evidence map›Paper›PMID 24131525›Full record

ArticleBMJ open2013

Prevalence and incidence rates of autism in the UK: time trend from 2004-2010 in children aged 8 years.

Brent Taylor, Hershel Jick, Dean Maclaughlin

Abstract read
In one paragraph

Article in BMJ open, 2013. 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
–field-weighted citation impact
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.

  1. Pooled it
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  5. Review
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  10. Utility of the Language Use Inventory in Young Children at Elevated Likelihood of Autism.Journal of speech, language, and hearing research : JSLHR · 2024
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  18. Autism-friendly eyecare: Developing recommendations for service providers based on the experiences of autistic adults.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022
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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

3 authors.

Brent TaylorGeneral and Adolescent Paediatric Unit, UCL Institute of Child Health, London, UK.
Hershel Jick
Dean Maclaughlin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo update UK studies begun in the early 1990s on the annual prevalence and incidence rates of autism in children; undertaken in response to a March 2012 press release, widely covered by the media, from the US Centre for Disease Control (CDC) reporting that the autism prevalence rate in 2008 in 8-year-old US children was 1 in 88, a 78% increase from a CDC estimate in 2004. This finding suggested a continuation of the dramatic increase in children diagnosed as autistic, which occurred in the 1990s.

designPopulation study using the UK General Practice Research Database (GPRD).

methodsAnnual autism prevalence rates were estimated for children aged 8 years in 2004-2010 by dividing the number diagnosed as autistic in each or any previous year by the number of children active in the study population that year. We also calculated annual incidence rates for children aged 2-8 years, by dividing the number newly diagnosed in 2004-2010 by the same denominators.

resultsAnnual prevalence rates for each year were steady at approximately 3.8/1000 boys and 0.8/1000 girls. Annual incidence rates each year were also steady at about 1.2/1000 boys and 0.2/1000 girls.

conclusionsFollowing a fivefold increase in the annual incidence rates of autism during the 1990s in the UK, the incidence and prevalence rates in 8-year-old children reached a plateau in the early 2000s and remained steady through 2010. Whether prevalence rates have increased from the early 2000s in the USA remains uncertain.

Identifiers

PMID24131525
PMCPMC3808754

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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.