Evidence map›Paper›PMID 27390923›Full record

ArticleAmerican journal of speech-language pathology2016

Early Expressive Language Skills Predict Long-Term Neurocognitive Outcomes in Cochlear Implant Users: Evidence from the MacArthur-Bates Communicative Development Inventories.

Irina Castellanos, David B Pisoni, William G Kronenberger, Jessica Beer

Abstract read
In one paragraph

Article in American journal of speech-language pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Temperament in Toddlers With and Without Prelingual Hearing Loss.Journal of speech, language, and hearing research : JSLHR · 2024
    Article
  6. Learning a Sign Language Does Not Hinder Acquisition of a Spoken Language.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Variables influencing executive functioning in preschool hearing-impaired children implanted within 24 months of age: an observational cohort study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Executive Function in Deaf Children: Auditory Access and Language Access.Journal of speech, language, and hearing research : JSLHR · 2018
    Article
  17. Relations Between Self-reported Executive Functioning and Speech Perception Skills in Adult Cochlear Implant Users.Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2018
    Article
  18. Article
  19. Three challenges for future research on cochlear implants.World journal of otorhinolaryngology - head and neck surgery · 2017
    Review
  20. 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

4 authors.

Irina Castellanos
David B Pisoni
William G Kronenberger
Jessica Beer

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
SPEECH PERCEPTION &SPOKEN WORD RECOGNITIONR01DC000111 · NIDCD · TRUSTEES OF INDIANA UNIVERSITY · PI PISONI, DAVID B · 1989 to 2015
$8.1M
TRAINING IN SPEECH, HEARING, AND SENSORY COMMUNICATIONST32DC000012 · NIDCD · TRUSTEES OF INDIANA UNIVERSITY · PI PISONI, DAVID B · 1988 to 2013
$7.7M
Neurocognitive Processes in Deaf Children with Cochlear ImplantsR01DC009581 · NIDCD · INDIANA UNIVERSITY INDIANAPOLIS · PI PISONI, DAVID B · 2009 to 2013
$3.0M
Indiana Clinical and Translational Sciences InstituteTL1TR001107 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$2.0M
NCATS NIH HHS TL1 TR001107NCATS NIH HHS UL1 TR001108NIDCD NIH HHS R01 DC000111NIDCD NIH HHS R01 DC009581NIDCD NIH HHS T32 DC000012
6 · The paper itself

Abstract

purposeThe objective of the present article was to document the extent to which early expressive language skills (measured using the MacArthur-Bates Communicative Development Inventories [CDI; Fenson et al., 2006]) predict long-term neurocognitive outcomes in a sample of early-implanted prelingually deaf cochlear implant (CI) users.

methodThe CDI was used to index the early expressive language skills of 32 pediatric CI users after an average of 1.03 years (SD = 0.56, range = 0.39-2.17) of CI experience. Long-term neurocognitive outcomes were assessed after an average of 11.32 (SD = 2.54, range = 7.08-16.52) years of CI experience. Measures of long-term neurocognitive outcomes were derived from gold-standard performance-based and questionnaire-based assessments of language, executive functioning, and academic skills.

resultAnalyses revealed that early expressive language skills, collected on average 1.03 years post cochlear implantation, predicted long-term language, executive functioning, and academic skills up to 16 years later.

conclusionThese findings suggest that early expressive language skills, as indexed by the CDI, are clinically relevant for identifying CI users who may be at high risk for long-term neurocognitive delays and disturbances.

Indexed as

Cochlear ImplantsLanguage DevelopmentCochlear ImplantationDeafnessFemaleHumansInfantLanguageMale

Identifiers

PMID27390923
PMCPMC5270638

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.