Evidence map›Paper›PMID 29781345›Full record

ArticleJournal of attention disorders2019

Sluggish Cognitive Tempo Predicts Academic Fluency, Beyond Contributions of Core Academic Skills, Attention, and Motor Speed.

Lisa A Jacobson, E Mark Mahone

Abstract read
In one paragraph

Article in Journal of attention disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The contribution of sluggish cognitive tempo to processing speed in survivors of pediatric brain tumors.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2021
    Article
  6. Article
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

2 authors.

Lisa A JacobsonJohns Hopkins School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-6992-029X
E Mark MahoneJohns Hopkins School of Medicine, Baltimore, MD, USA.

Funding

Translational Neuroscience CoreU54HD079123 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI WILSON, MARY A · 2014 to 2019
$7.9M
Defining the Sluggish Cognitive Tempo Phenotype in ChildrenR03MH111965 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI JACOBSON, LISA ANNE · 2017 to 2018
$162k
NICHD NIH HHS U54 HD079123NIMH NIH HHS R03 MH111965
6 · The paper itself

Abstract

objectiveSluggish Cognitive Tempo (SCT) is a distinct behavioral phenotype characterized by such symptoms as being slow to complete tasks, appearing drowsy or sleepy, and lacking initiative. Subcomponents of SCT appear differentially associated with inattention symptoms and child outcomes. Much of the work in this area has examined associations between SCT symptoms and ratings of behavior; few studies have examined associations with child performance.

methodWe examined associations between SCT and timed reading and math skills in 247 referred youth (

resultsSCT consistently predicted timed academic fluency, after controlling for other component skills, for both reading (SCT Δ

conclusionResults provide initial evidence for the unique association of SCT with timed academic performance. Understanding associations of SCT with actual child performance may allow for greater specificity in targeting interventions to address speed of performance.

Indexed as

Academic PerformanceAchievementAdolescentAttentionAttention Deficit Disorder with HyperactivityChildCognitionCognition DisordersEducational StatusFemaleHumansMaleMental ProcessesMotivationPredictive Value of TestsReadingADHDchildrenmathneurocognitive measuresreading

Identifiers

PMID29781345
PMCPMC6541530

What OpenQuestion holds

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Registered trials

None linked

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.