Evidence map›Paper›PMID 26501406›Full record

ReviewJournal of speech, language, and hearing research : JSLHR2016

Markers, Models, and Measurement Error: Exploring the Links Between Attention Deficits and Language Impairments.

Sean M Redmond

Abstract readReview
In one paragraph

Review in Journal of speech, language, and hearing research : JSLHR, 2016. 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
–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

10 citing papers in PubMed.

  1. The Impact of ADHD on Children's Language Development.Children (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Longitudinal Associations Across Prematurity, Attention, and Language in School-Age Children.Journal of speech, language, and hearing research : JSLHR · 2017
    Article
  9. Late Talkers: A Population-Based Study of Risk Factors and School Readiness Consequences.Journal of speech, language, and hearing research : JSLHR · 2017
    Article
  10. Learning to drive in young adults with language impairment.Transportation research. Part F, Traffic psychology and behaviour · 2016
    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

1 author.

Sean M Redmond

Funding

Co-occurence of Language and Attention Difficulties in ChildrenR01DC011023 · NIDCD · UNIVERSITY OF UTAH · PI REDMOND, SEAN M · 2011 to 2015
$1.3M
NIDCD NIH HHS R01 DC011023NIDCD NIH HHS R01DC011023
6 · The paper itself

Abstract

purposeThe empirical record regarding the expected co-occurrence of attention-deficit/hyperactivity disorder (ADHD) and specific language impairment is confusing and contradictory. A research plan is presented that has the potential to untangle links between these 2 common neurodevelopmental disorders.

methodData from completed and ongoing research projects examining the relative value of different clinical markers for separating cases of specific language impairment from ADHD are presented.

resultsThe best option for measuring core language impairments in a manner that does not potentially penalize individuals with ADHD is to focus assessment on key grammatical and verbal memory skills. Likewise, assessment of ADHD symptoms through standardized informant rating scales is optimized when they are adjusted for overlapping language and academic symptoms.

conclusionAs a collection, these clinical metrics set the stage for further examination of potential linkages between attention deficits and language impairments.

Indexed as

Attention Deficit Disorder with HyperactivityHumansLanguage DisordersModels, PsychologicalPsychological Tests

Identifiers

PMID26501406
PMCPMC4867933

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.