Evidence map›Paper›PMID 31980930›Full record

ArticleEuropean child & adolescent psychiatry2020

Characteristics of child psychiatric outpatients with slow processing speed and potential mechanisms of academic impact.

Ellen B Braaten, Amanda K Ward, Gina Forchelli, Pieter J Vuijk, Nathan E Cook, Patrick McGuinness, B Andi Lee, Anna Samkavitz, Hannah Lind, Sheila M O'Keefe and 1 more

Open access · greenAbstract read
In one paragraph

Article in European child & adolescent psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  6. What is a processing speed weakness? Importance of cognitive ability when defining processing speed in a child psychiatric population.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2022
    Article
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  9. Frontoparietal Network Connectivity During anFrontiers in psychiatry · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Ellen B BraatenDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Amanda K WardDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Gina ForchelliDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Pieter J VuijkCenter for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, CPZN 6240, Boston, MA, 02114, USA.
Nathan E CookDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Patrick McGuinnessDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
B Andi LeeCenter for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, CPZN 6240, Boston, MA, 02114, USA.
Anna SamkavitzCenter for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, CPZN 6240, Boston, MA, 02114, USA.
Hannah LindCenter for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, CPZN 6240, Boston, MA, 02114, USA.
Sheila M O'KeefeDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Alysa E DoyleDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. doylea@helix.mgh.harvard.edu.ORCID http://orcid.org/0000-0002-8536-2697
Harvard University · USMassachusetts General Hospital · US

Funding

Discoveries in ADHD genomics: Help or hype in clinical settings?R01MH116037 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DOYLE, ALYSA E · 2019 to 2023
$4.4M
NIMH NIH HHS R01 MH116037
6 · The paper itself

Abstract

While slow processing speed (PS) is well documented in youth with ADHD, growing evidence suggests that this difficulty affects children with other neuropsychiatric conditions. Clarifying the relationship between slow PS and different forms of psychopathology is important clinically, given the potential impact of PS on academic functioning, and conceptually. In 751 youth, ages 6-21, consecutively referred for neuropsychiatric evaluation, we examined the association between slow PS (i.e., Wechsler PS Index < 85) and seven neuropsychiatric diagnostic groups. In 492 of these youth, we also related slow PS to eight psychopathology symptom dimensions. Finally, we modeled the relationship between PS, other cognitive functions and academic achievement. Data are from the Longitudinal Study of Genetic Influences on Cognition. Analyses included one-sample t tests, ANOVA, logistic regression, mixed modeling, and structural equation modeling (SEM), controlling for age, sex, and medication. Compared to normative data, all clinical groups showed PS decrements. Compared to referred youth without full diagnoses and accounting for other psychopathology, risk for slow PS was elevated in youth with autism spectrum disorder (OR = 1.8), psychotic disorders (OR = 3.4) and ADHD-inattentive type (OR = 1.6). Having multiple comorbidities also increased risk for slow PS. Among dimensions, inattention (OR = 1.5) associated with slow PS but did not fully explain the association with autism or psychosis. In SEM, PS had direct effects on academic achievement and indirect effects through working memory. Findings extend evidence that PS relates to multiple aspects of child psychopathology and associates with academic achievement in child psychiatric outpatients.

Indexed as

Academic SuccessAdolescentAdultChildCognitionFemaleHumansLongitudinal StudiesMaleOutpatientsPsychopathologyPsychotic DisordersYoung AdultAcademic achievementChild psychiatryCross-disorderOutpatientsProcessing speedWorking memory

Identifiers

PMID31980930
PMCPMC8168921
OpenAlexW3002336467

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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.