Evidence map›Paper›PMID 29246205›Full record

ArticleBMC psychiatry2017

The Autism-Tics, ADHD and other Comorbidities inventory (A-TAC): previous and predictive validity.

Caroline Mårland, Paul Lichtenstein, Alessio Degl'Innocenti, Tomas Larson, Maria Råstam, Henrik Anckarsäter, Christopher Gillberg, Thomas Nilsson, Sebastian Lundström

Abstract readTwin StudyValidation Study
In one paragraph

Article in BMC psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

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  10. Improving Identification of Tic Disorders in Children.Evidence-based practice in child and adolescent mental health · 2024
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  14. Review
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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

9 authors.

Caroline MårlandCentre for Ethics Law and Mental Health (CELAM) Institute of Neuroscience and Physiology, University of Gothenburg, SU Rättspsykiatri, Rågårdsvägen 5, Enhet CELAM Hus 1, SE-424 57 Gunnilse, Gothenburg, Sweden. caroline.marland@vgregion.se.ORCID 0000-0001-7398-2226
Paul LichtensteinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden.
Alessio Degl'InnocentiCentre for Ethics Law and Mental Health (CELAM) Institute of Neuroscience and Physiology, University of Gothenburg, SU Rättspsykiatri, Rågårdsvägen 5, Enhet CELAM Hus 1, SE-424 57 Gunnilse, Gothenburg, Sweden.
Tomas LarsonCentre for Ethics Law and Mental Health (CELAM) Institute of Neuroscience and Physiology, University of Gothenburg, SU Rättspsykiatri, Rågårdsvägen 5, Enhet CELAM Hus 1, SE-424 57 Gunnilse, Gothenburg, Sweden.
Maria RåstamDepartment of Clinical Sciences, Lund University, Box 117, SE-221 00, Lund, Sweden.
Henrik AnckarsäterCentre for Ethics Law and Mental Health (CELAM) Institute of Neuroscience and Physiology, University of Gothenburg, SU Rättspsykiatri, Rågårdsvägen 5, Enhet CELAM Hus 1, SE-424 57 Gunnilse, Gothenburg, Sweden.
Christopher GillbergGillberg Neuropsychiatry Centre Institute of Neuroscience and Physiology, University of Gothenburg, Kungsgatan 12, SE-411 19, Göteborg, Sweden.
Thomas NilssonCentre for Ethics Law and Mental Health (CELAM) Institute of Neuroscience and Physiology, University of Gothenburg, SU Rättspsykiatri, Rågårdsvägen 5, Enhet CELAM Hus 1, SE-424 57 Gunnilse, Gothenburg, Sweden.
Sebastian LundströmCentre for Ethics Law and Mental Health (CELAM) Institute of Neuroscience and Physiology, University of Gothenburg, SU Rättspsykiatri, Rågårdsvägen 5, Enhet CELAM Hus 1, SE-424 57 Gunnilse, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReliable and easy to administer screening instruments focusing on neurodevelopmental disorders and associated conditions are scarce. The Autism-Tics, AD/HD and other Comorbidities inventory (A-TAC) has previously been validated and reporting good- excellent validity for several disorders. This article aims to expand these findings by including more conditions in a substantially larger sample augmented with the Swedish National Patient Register (NPR).

methodsSince 2004 parents of all 9-year-old Swedish twins have been invited to participate in a telephone interview in the Child and Adolescent Twin Study in Sweden, CATSS. The CATSS is linked to the NPR which includes data from in- and outpatient care. Data on neurodevelopmental disorders (A-TAC) collected in CATSS were compared with diagnoses from the NPR. We investigated diagnoses that had been made both before (previous validity) and after (predictive validity) the interview.

resultsSensitivity and specificity of A-TAC scores for predicting earlier or later clinical diagnoses were mostly good-excellent, with values of the area under the curve for a clinical diagnosis of autism spectrum disorder (ASD) of .98, attention deficit hyperactivity disorder (ADHD) .93, learning disorder (LD) .92, and oppositional defiant disorder (ODD) .99, with small differences in terms of previous and predictive analyses. A-TAC provided little validity for eating disorders.

conclusionThe result support previous claims: A-TAC is a broad screening instrument with a particular strength in assessing ASD, ADHD, LD, and ODD at ages 9 and 12, and also provides phenotypic information about other child psychiatric disorders.

Indexed as

AdolescentArea Under CurveAttention Deficit and Disruptive Behavior DisordersAttention Deficit Disorder with HyperactivityAutistic DisorderChildComorbidityDiseases in TwinsFemaleHumansLearning DisabilitiesMaleNeuropsychological TestsParentsPredictive Value of TestsRegistriesADHDAutismNeurodevelopmental disordersScreening

Identifiers

PMID29246205
PMCPMC5732476

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Registered trials

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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.